cifar10-ConvNeXt-base / config.json
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{
"_name_or_path": "facebook/convnext-base-224-22k-1k",
"architectures": [
"ConvNextForImageClassification"
],
"depths": [
3,
3,
27,
3
],
"drop_path_rate": 0.0,
"hidden_act": "gelu",
"hidden_sizes": [
128,
256,
512,
1024
],
"id2label": {
"0": "airplane",
"1": "automobile",
"2": "bird",
"3": "cat",
"4": "deer",
"5": "dog",
"6": "frog",
"7": "horse",
"8": "ship",
"9": "truck"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"airplane": 0,
"automobile": 1,
"bird": 2,
"cat": 3,
"deer": 4,
"dog": 5,
"frog": 6,
"horse": 7,
"ship": 8,
"truck": 9
},
"layer_norm_eps": 1e-12,
"layer_scale_init_value": 1e-06,
"model_type": "convnext",
"num_channels": 3,
"num_stages": 4,
"out_features": [
"stage4"
],
"out_indices": [
4
],
"patch_size": 4,
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4"
],
"torch_dtype": "float32",
"transformers_version": "4.38.2"
}