File size: 1,232 Bytes
3d9da2a |
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 66 67 68 69 70 |
{
"_name_or_path": "microsoft/swin-tiny-patch4-window7-224",
"architectures": [
"SwinForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"depths": [
2,
2,
6,
2
],
"drop_path_rate": 0.1,
"embed_dim": 96,
"encoder_stride": 32,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"id2label": {
"0": "bipolars",
"1": "clippers",
"2": "graspers",
"3": "hooks",
"4": "irrigators",
"5": "scissorss"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"bipolars": 0,
"clippers": 1,
"graspers": 2,
"hooks": 3,
"irrigators": 4,
"scissorss": 5
},
"layer_norm_eps": 1e-05,
"mlp_ratio": 4.0,
"model_type": "swin",
"num_channels": 3,
"num_heads": [
3,
6,
12,
24
],
"num_layers": 4,
"out_features": [
"stage4"
],
"out_indices": [
4
],
"patch_size": 4,
"path_norm": true,
"problem_type": "single_label_classification",
"qkv_bias": true,
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4"
],
"torch_dtype": "float32",
"transformers_version": "4.36.1",
"use_absolute_embeddings": false,
"window_size": 7
}
|