{ "_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 }