{
  "config": {
    "architecture": "union",
    "configs": [
      {
        "architecture": "prefix_tuning",
        "bottleneck_size": 512,
        "cross_prefix": true,
        "dropout": 0.0,
        "encoder_prefix": true,
        "flat": false,
        "leave_out": [],
        "non_linearity": "tanh",
        "prefix_length": 10,
        "shared_gating": true,
        "use_gating": true
      },
      {
        "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": true
      },
      {
        "alpha": 8,
        "architecture": "lora",
        "attn_matrices": [
          "q",
          "v"
        ],
        "composition_mode": "add",
        "dropout": 0.0,
        "init_weights": "lora",
        "intermediate_lora": false,
        "output_lora": false,
        "r": 8,
        "selfattn_lora": true,
        "use_gating": true
      }
    ]
  },
  "hidden_size": 768,
  "model_class": "BertModelWithHeads",
  "model_name": "bert-base-uncased",
  "model_type": "bert",
  "name": "difraud-fake_news",
  "version": "3.2.1"
}