dit-large / config.json
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{
"_name_or_path": "microsoft/dit-large",
"architectures": [
"BeitForMaskedImageModeling"
],
"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,
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 4096,
"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
],
"semantic_loss_ignore_index": 255,
"transformers_version": "4.33.2",
"use_absolute_position_embeddings": true,
"use_auxiliary_head": true,
"use_mask_token": true,
"use_mean_pooling": true,
"use_relative_position_bias": false,
"use_shared_relative_position_bias": false,
"vocab_size": 8192
}