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Training in progress, epoch 1
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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": "Siamese",
"1": "Birman",
"2": "shiba inu",
"3": "staffordshire bull terrier",
"4": "basset hound",
"5": "Bombay",
"6": "japanese chin",
"7": "chihuahua",
"8": "german shorthaired",
"9": "pomeranian",
"10": "beagle",
"11": "english cocker spaniel",
"12": "american pit bull terrier",
"13": "Ragdoll",
"14": "Persian",
"15": "Egyptian Mau",
"16": "miniature pinscher",
"17": "Sphynx",
"18": "Maine Coon",
"19": "keeshond",
"20": "yorkshire terrier",
"21": "havanese",
"22": "leonberger",
"23": "wheaten terrier",
"24": "american bulldog",
"25": "english setter",
"26": "boxer",
"27": "newfoundland",
"28": "Bengal",
"29": "samoyed",
"30": "British Shorthair",
"31": "great pyrenees",
"32": "Abyssinian",
"33": "pug",
"34": "saint bernard",
"35": "Russian Blue",
"36": "scottish terrier"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Abyssinian": 32,
"Bengal": 28,
"Birman": 1,
"Bombay": 5,
"British Shorthair": 30,
"Egyptian Mau": 15,
"Maine Coon": 18,
"Persian": 14,
"Ragdoll": 13,
"Russian Blue": 35,
"Siamese": 0,
"Sphynx": 17,
"american bulldog": 24,
"american pit bull terrier": 12,
"basset hound": 4,
"beagle": 10,
"boxer": 26,
"chihuahua": 7,
"english cocker spaniel": 11,
"english setter": 25,
"german shorthaired": 8,
"great pyrenees": 31,
"havanese": 21,
"japanese chin": 6,
"keeshond": 19,
"leonberger": 22,
"miniature pinscher": 16,
"newfoundland": 27,
"pomeranian": 9,
"pug": 33,
"saint bernard": 34,
"samoyed": 29,
"scottish terrier": 36,
"shiba inu": 2,
"staffordshire bull terrier": 3,
"wheaten terrier": 23,
"yorkshire terrier": 20
},
"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": "4.40.2"
}