{
  "auto_mapping": null,
  "base_model_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
  "inference_mode": true,
  "num_attention_heads": 32,
  "num_layers": 32,
  "num_transformer_submodules": 1,
  "num_virtual_tokens": 241,
  "peft_type": "PROMPT_TUNING",
  "prompt_tuning_init": "TEXT",
  "prompt_tuning_init_text": "\n    [INST]Your task is to perform multi-label text classification on a given text. The labels are represented by numbers from 0 to 18, each corresponding to a specific category:\n\n    0: Self-direction: thought\n    1: Self-direction: action\n    2: Stimulation\n    3: Hedonism\n    4: Achievement\n    5: Power: dominance\n    6: Power: resources\n    7: Face\n    8: Security: personal\n    9: Security: societal\n    10: Tradition\n    11: Conformity: rules\n    12: Conformity: interpersonal\n    13: Humility\n    14: Benevolence: caring\n    15: Benevolence: dependability\n    16: Universalism: concern\n    17: Universalism: nature\n    18: Universalism: tolerance\n\n    For each text, assign the appropriate labels. A text can have multiple labels if it covers multiple categories. If a text does not fit into any of the categories, do not assign any label.[/INST]\n    ",
  "revision": null,
  "task_type": "SEQ_CLS",
  "token_dim": 4096,
  "tokenizer_kwargs": null,
  "tokenizer_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct"
}