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CompanionGuard-RL/configs/intervention_config.yaml

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detector:
checkpoint: "checkpoints/detector/best.pt"
model_name: "hfl/chinese-macbert-large"
hidden_size: 1024
agent:
state_hidden: 256
dropout: 0.1
reward:
w1: 2.0 # safety gain for correct intervention
w2: 3.0 # false negative penalty
w3: 4.0 # crisis bonus for R1
w4: 1.5 # over-refusal penalty
w5: 0.5 # UX cost
behavior_cloning:
enabled: true
epochs: 5
lr: 1e-3
ppo:
total_timesteps: 200000
n_rollout_steps: 2048
n_epochs: 4
batch_size: 64
lr: 3e-4
clip_eps: 0.2
entropy_coef: 0.01
value_coef: 0.5
max_grad_norm: 0.5
gamma: 0.99
gae_lambda: 0.95
environment:
n_envs: 1
max_turns: 20
logging:
project: "CompanionGuard-RL"
run_name: "intervention-ppo"
use_wandb: true
output:
checkpoint_dir: "checkpoints/intervention"
save_interval: 10000