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#!/bin/bash
# 纯偏见减少训练脚本
# 目标：只最小化男女间熵差，不进行整体熵最小化
echo "🎯 开始纯偏见减少训练"
echo "目标：最小化 |H_female - H_male|"
echo "特点：不包含熵最小化(EM)，专注debiasing"
# 默认参数
MODEL_PATH=${1:-"Qwen2.5-Math-1.5B-Instruct"}
RUN_NAME=${2:-"pure_debiasing_$(date +%m%d_%H%M)"}
TARGET_GAP=${3:-0.01}
MAX_STEPS=${4:-20}
echo ""
echo "📊 配置信息:"
echo " 模型路径: $MODEL_PATH"
echo " 运行名称: $RUN_NAME"
echo " 目标熵差: $TARGET_GAP"
echo " 最大步数: $MAX_STEPS"
echo ""
# 检查模型路径
if [ ! -d "$MODEL_PATH" ]; then
echo "❌ 错误: 模型路径不存在: $MODEL_PATH"
echo "请提供正确的模型路径作为第一个参数"
echo "用法: $0 <model_path> [run_name] [target_gap] [max_steps]"
exit 1
fi
# 运行纯偏见减少训练
python train_debiasing.py \
--model_path "$MODEL_PATH" \
--run_name "$RUN_NAME" \
--target_gap $TARGET_GAP \
--max_steps $MAX_STEPS \
--micro_batch_size 2 \
--effective_batch 4 \
--learning_rate 1e-5 \
--scale_factor 1.0 \
--use_test_data \
--wandb_project "pure-debiasing" \
--log_steps 1 \
--save_steps 10
echo ""
echo "🎉 纯偏见减少训练完成！"
echo "📁 检查点保存在: checkpoints/$(basename $MODEL_PATH)/$RUN_NAME/"
echo "�� 查看WandB日志了解详细训练过程"
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