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CompanionGuard-RL/configs/detector_config.yaml

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model:
name: "hfl/chinese-macbert-large"
hidden_size: 1024
num_heads: 8
dropout: 0.1
use_lora: false
data:
train_path: "data/processed/train.jsonl"
val_path: "data/processed/val.jsonl"
test_path: "data/processed/test.jsonl"
max_persona_len: 128
max_context_len: 512
max_response_len: 256
max_history_turns: 5
training:
epochs: 10
batch_size: 16
lr: 2e-5
warmup_steps: 200
weight_decay: 0.01
gradient_clip: 1.0
eval_steps: 200
save_steps: 500
loss_weights:
binary: 1.0
level: 1.0
primary: 1.0
fine: 1.0
evaluation:
binary_threshold: 0.5
fine_threshold: 0.4
logging:
project: "CompanionGuard-RL"
run_name: "detector-macbert"
use_wandb: true
output:
checkpoint_dir: "checkpoints/detector"