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Training in progress, epoch 1
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{
"_name_or_path": "WinKawaks/vit-tiny-patch16-224",
"architectures": [
"ViTForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"encoder_stride": 16,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 192,
"id2label": {
"0": "Abyssinian",
"1": "Bengal",
"2": "Birman",
"3": "Bombay",
"4": "British Shorthair",
"5": "Egyptian Mau",
"6": "Maine Coon",
"7": "Persian",
"8": "Ragdoll",
"9": "Russian Blue",
"10": "Siamese",
"11": "Sphynx",
"12": "american bulldog",
"13": "american pit bull terrier",
"14": "basset hound",
"15": "beagle",
"16": "boxer",
"17": "chihuahua",
"18": "english cocker spaniel",
"19": "english setter",
"20": "german shorthaired",
"21": "great pyrenees",
"22": "havanese",
"23": "japanese chin",
"24": "keeshond",
"25": "leonberger",
"26": "miniature pinscher",
"27": "newfoundland",
"28": "pomeranian",
"29": "pug",
"30": "saint bernard",
"31": "samoyed",
"32": "scottish terrier",
"33": "shiba inu",
"34": "staffordshire bull terrier",
"35": "wheaten terrier",
"36": "yorkshire terrier"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 768,
"label2id": {
"Abyssinian": 0,
"Bengal": 1,
"Birman": 2,
"Bombay": 3,
"British Shorthair": 4,
"Egyptian Mau": 5,
"Maine Coon": 6,
"Persian": 7,
"Ragdoll": 8,
"Russian Blue": 9,
"Siamese": 10,
"Sphynx": 11,
"american bulldog": 12,
"american pit bull terrier": 13,
"basset hound": 14,
"beagle": 15,
"boxer": 16,
"chihuahua": 17,
"english cocker spaniel": 18,
"english setter": 19,
"german shorthaired": 20,
"great pyrenees": 21,
"havanese": 22,
"japanese chin": 23,
"keeshond": 24,
"leonberger": 25,
"miniature pinscher": 26,
"newfoundland": 27,
"pomeranian": 28,
"pug": 29,
"saint bernard": 30,
"samoyed": 31,
"scottish terrier": 32,
"shiba inu": 33,
"staffordshire bull terrier": 34,
"wheaten terrier": 35,
"yorkshire terrier": 36
},
"layer_norm_eps": 1e-12,
"model_type": "vit",
"num_attention_heads": 3,
"num_channels": 3,
"num_hidden_layers": 12,
"patch_size": 16,
"problem_type": "single_label_classification",
"qkv_bias": true,
"torch_dtype": "float32",
"transformers_version": "4.40.1"
}