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{
"_name_or_path": "facebook/convnextv2-tiny-1k-224",
"architectures": [
"ConvNextV2ForImageClassification"
],
"depths": [
3,
3,
9,
3
],
"drop_path_rate": 0.0,
"hidden_act": "gelu",
"hidden_sizes": [
96,
192,
384,
768
],
"id2label": {
"0": "-90 to -80",
"1": "-80 to -70",
"2": "-70 to -60",
"3": "-60 to -50",
"4": "-50 to -40",
"5": "-40 to -30",
"6": "-30 to -20",
"7": "-20 to -10",
"8": "-10 to 0",
"9": "0 to 10",
"10": "10 to 20",
"11": "20 to 30",
"12": "30 to 40",
"13": "40 to 50",
"14": "50 to 60",
"15": "60 to 70",
"16": "70 to 80",
"17": "80 to 90"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"-10 to 0": 8,
"-20 to -10": 7,
"-30 to -20": 6,
"-40 to -30": 5,
"-50 to -40": 4,
"-60 to -50": 3,
"-70 to -60": 2,
"-80 to -70": 1,
"-90 to -80": 0,
"0 to 10": 9,
"10 to 20": 10,
"20 to 30": 11,
"30 to 40": 12,
"40 to 50": 13,
"50 to 60": 14,
"60 to 70": 15,
"70 to 80": 16,
"80 to 90": 17
},
"layer_norm_eps": 1e-12,
"model_type": "convnextv2",
"num_channels": 3,
"num_stages": 4,
"out_features": [
"stage4"
],
"out_indices": [
4
],
"patch_size": 4,
"problem_type": "single_label_classification",
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4"
],
"torch_dtype": "float32",
"transformers_version": "4.37.0"
}
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