|
{ |
|
"config": { |
|
"architecture": "union", |
|
"configs": [ |
|
{ |
|
"alpha": 1, |
|
"architecture": "lora", |
|
"attn_matrices": [ |
|
"q", |
|
"v" |
|
], |
|
"composition_mode": "scale", |
|
"dropout": 0.0, |
|
"init_weights": "ia3", |
|
"intermediate_lora": true, |
|
"output_lora": false, |
|
"r": 1, |
|
"selfattn_lora": true, |
|
"use_gating": false |
|
}, |
|
{ |
|
"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": true, |
|
"non_linearity": "swish", |
|
"original_ln_after": true, |
|
"original_ln_before": false, |
|
"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": 8, |
|
"residual_before_ln": true, |
|
"scaling": 1.0, |
|
"shared_W_phm": false, |
|
"shared_phm_rule": true, |
|
"use_gating": false |
|
} |
|
] |
|
}, |
|
"hidden_size": 1024, |
|
"model_class": "T5ForConditionalGeneration", |
|
"model_name": "google/flan-t5-large", |
|
"model_type": "t5", |
|
"name": "question_answering_union", |
|
"version": "3.2.1" |
|
} |