deberta-v3-fakenews / adapter_config.json
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{
"alpha_pattern": {},
"auto_mapping": null,
"base_model_name_or_path": "microsoft/deberta-v3-base",
"bias": "none",
"fan_in_fan_out": false,
"inference_mode": true,
"init_lora_weights": true,
"layer_replication": null,
"layers_pattern": null,
"layers_to_transform": null,
"loftq_config": {},
"lora_alpha": 32,
"lora_dropout": 0.05,
"megatron_config": null,
"megatron_core": "megatron.core",
"modules_to_save": [
"classifier",
"score"
],
"peft_type": "LORA",
"r": 16,
"rank_pattern": {},
"revision": null,
"target_modules": [
"query_proj",
"value_proj"
],
"task_type": "SEQ_CLS",
"use_dora": false,
"use_rslora": false
}