adapter_config.json

{
  "auto_mapping": null,
  "base_model_name_or_path": "studio-ousia/luke-base",
  "bias": "none",
  "fan_in_fan_out": false,
  "inference_mode": true,
  "init_lora_weights": true,
  "layers_pattern": null,
  "layers_to_transform": null,
  "lora_alpha": 32,
  "lora_dropout": 0.1,
  "modules_to_save": null,
  "peft_type": "LORA",
  "r": 8,
  "revision": null,
  "target_modules": [
    "luke.encoder.layer.0.attention.self.query",
    "luke.encoder.layer.0.attention.self.key",
    "luke.encoder.layer.0.attention.self.value",
    "luke.encoder.layer.1.attention.self.query",
    "luke.encoder.layer.1.attention.self.key",
    "luke.encoder.layer.1.attention.self.value",
    "luke.encoder.layer.2.attention.self.query",
    "luke.encoder.layer.2.attention.self.key",
    "luke.encoder.layer.2.attention.self.value",
    "luke.encoder.layer.3.attention.self.query",
    "luke.encoder.layer.3.attention.self.key",
    "luke.encoder.layer.3.attention.self.value",
    "luke.encoder.layer.4.attention.self.query",
    "luke.encoder.layer.4.attention.self.key",
    "luke.encoder.layer.4.attention.self.value",
    "luke.encoder.layer.5.attention.self.query",
    "luke.encoder.layer.5.attention.self.key",
    "luke.encoder.layer.5.attention.self.value",
    "luke.encoder.layer.6.attention.self.query",
    "luke.encoder.layer.6.attention.self.key",
    "luke.encoder.layer.6.attention.self.value",
    "luke.encoder.layer.7.attention.self.query",
    "luke.encoder.layer.7.attention.self.key",
    "luke.encoder.layer.7.attention.self.value",
    "luke.encoder.layer.8.attention.self.query",
    "luke.encoder.layer.8.attention.self.key",
    "luke.encoder.layer.8.attention.self.value",
    "luke.encoder.layer.9.attention.self.query",
    "luke.encoder.layer.9.attention.self.key",
    "luke.encoder.layer.9.attention.self.value",
    "luke.encoder.layer.10.attention.self.query",
    "luke.encoder.layer.10.attention.self.key",
    "luke.encoder.layer.10.attention.self.value",
    "luke.encoder.layer.11.attention.self.query",
    "luke.encoder.layer.11.attention.self.key",
    "luke.encoder.layer.11.attention.self.value",
    "luke.encoder.layer.11.output.dense",
    "qa_outputs"
  ],
  "task_type": "QUESTION_ANS"
}