File size: 1,389 Bytes
f3960e7 |
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 |
{
"_name_or_path": "microsoft/beit-large-patch16-224",
"architectures": [
"BeitForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"auxiliary_channels": 256,
"auxiliary_concat_input": false,
"auxiliary_loss_weight": 0.4,
"auxiliary_num_convs": 1,
"drop_path_rate": 0.1,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 1024,
"id2label": {
"0": "HeadAbnormalities",
"1": "NeckAbnormalities",
"2": "Normal",
"3": "TailAbnormalities"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"HeadAbnormalities": "0",
"NeckAbnormalities": "1",
"Normal": "2",
"TailAbnormalities": "3"
},
"layer_norm_eps": 1e-12,
"layer_scale_init_value": 0.1,
"model_type": "beit",
"num_attention_heads": 16,
"num_channels": 3,
"num_hidden_layers": 24,
"out_indices": [
3,
5,
7,
11
],
"patch_size": 16,
"pool_scales": [
1,
2,
3,
6
],
"problem_type": "single_label_classification",
"semantic_loss_ignore_index": 255,
"torch_dtype": "float32",
"transformers_version": "4.32.1",
"use_absolute_position_embeddings": false,
"use_auxiliary_head": true,
"use_mask_token": false,
"use_mean_pooling": true,
"use_relative_position_bias": true,
"use_shared_relative_position_bias": false,
"vocab_size": 8192
}
|