model:
  model_type: 'selective_pt'
  model_name: "facebook/opt-125m"
  load_bit: 32
  peft_type: "prompt_tuning"
  K: 4
  peft_config:
    num_virtual_tokens: 8
  normalizer: linear
  normalizer_on: ['prompt', 'lm']

training:
  learning_rate: 1e-5
  batch_size: 32
  num_epochs: 1
  mode: causal
  only_longest: False
  task_type: generate_response
  log_dir: runs_prompt_convai2_selective_linear
  contrastive: true
  ensemble: true
  selective_loss_weight: 0.4
  contrastive_metric: bleu
  contrastive_threshold: 20.0
  contrastive_weight: 0.4
  freeze_persona: yes
  freeze_context: yes

dataset:
  train: data_file/ConvAI2/train_self_original_no_cands.txt
  valid: data_file/ConvAI2/valid_self_original_no_cands.txt
  max_context_turns: -1
  max_token_length: 512