File size: 1,213 Bytes
f20aeae 0f4bff7 f20aeae 0f4bff7 f20aeae 0f4bff7 f20aeae 0f4bff7 f20aeae 0f4bff7 f20aeae 0f4bff7 f20aeae 0f4bff7 f20aeae |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
{
"_name_or_path": "microsoft/swin-base-patch4-window7-224-in22k",
"architectures": [
"SwinForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"depths": [
2,
2,
18,
2
],
"drop_path_rate": 0.1,
"embed_dim": 128,
"encoder_stride": 32,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 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": 4242,
"automobile": 4280,
"bird": 4138,
"cat": 4141,
"deer": 3349,
"dog": 4145,
"frog": 2407,
"horse": 19369,
"ship": 812,
"truck": 19692
},
"layer_norm_eps": 1e-05,
"mlp_ratio": 4.0,
"model_type": "swin",
"num_channels": 3,
"num_heads": [
4,
8,
16,
32
],
"num_layers": 4,
"patch_size": 4,
"path_norm": true,
"problem_type": "single_label_classification",
"qkv_bias": true,
"torch_dtype": "float32",
"transformers_version": "4.21.0",
"use_absolute_embeddings": false,
"window_size": 7
}
|