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{
"_name_or_path": "bert-base-uncased",
"adapters": {
"adapters": {
"super_glue_boolq": "9076f36a74755ac4"
},
"config_map": {
"9076f36a74755ac4": {
"adapter_residual_before_ln": false,
"cross_adapter": false,
"factorized_phm_W": true,
"factorized_phm_rule": false,
"hypercomplex_nonlinearity": "glorot-uniform",
"init_weights": "bert",
"inv_adapter": null,
"inv_adapter_reduction_factor": null,
"is_parallel": false,
"learn_phm": true,
"leave_out": [],
"ln_after": false,
"ln_before": false,
"mh_adapter": false,
"non_linearity": "relu",
"original_ln_after": true,
"original_ln_before": true,
"output_adapter": true,
"phm_bias": true,
"phm_c_init": "normal",
"phm_dim": 4,
"phm_init_range": 0.0001,
"phm_layer": false,
"phm_rank": 1,
"reduction_factor": 16,
"residual_before_ln": true,
"scaling": 1.0,
"shared_W_phm": false,
"shared_phm_rule": true,
"use_gating": false
}
},
"fusion_config_map": {},
"fusions": {}
},
"architectures": [
"BertModelWithHeads"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"prediction_heads": {
"super_glue_boolq": {
"activation_function": "tanh",
"bias": true,
"head_type": "classification",
"label2id": {
"False": 0,
"True": 1
},
"layers": 2,
"num_labels": 2,
"use_pooler": false
}
},
"torch_dtype": "float32",
"transformers_version": "4.21.3",
"type_vocab_size": 2,
"use_cache": false,
"vocab_size": 30522
}