chore(config): update experiment suffix, prefix and reward weights in deep_finance.sh

Author: TaoShuchang

tutorial/example_deep_finance/deep_finance.sh

@@ -3,19 +3,18 @@ set -e
 #===============================================================================
 # 1. 配置区域 - 用户只需修改这里
 #===============================================================================
-SUFFIX="deep_finance"     # 实验后缀，影响所有日志和实验名称
-PREFIX="open"                        # 实验前缀，影响日志和实验所在文件夹
+SUFFIX="newjudge"     # 实验后缀，影响所有日志和实验名称
+PREFIX="ajet_newjudge"                        # 实验前缀，影响日志和实验所在文件夹
 
 # OpenJudge 模型配置
 OPENJUDGE_LLM='qwen-flash'        # OpenJudge 评分模型
 RM_LLM='qwen-max'                 # RM Gallery 评分模型
 JUDGE_CONCURRENCY=10
 
 # 奖励权重配置
-RM_WEIGHT=0.4
-CITATION_AUDIT_WEIGHT=0.2
-REPORT_RESOLUTION_WEIGHT=0.2
-TRAJECTORY_FAITHFULNESS_WEIGHT=0.2
+RM_WEIGHT=0.5
+PRESENTATION_QUALITY_WEIGHT=0.25
+GROUNDING_WEIGHT=0.25
 
 # 训练参数配置
 NUM_REPEAT=4        # group size，每个query rollout NUM_REPEAT次
@@ -24,7 +23,7 @@ NUM_STEPS=6         # 每个样本step轮数
 DEEPFINANCE_TOOL_RESULT_MAX_CHARS=10000
 
 # 主目录
-export AJET_ROOT="/mnt/data_cpfs/taoshuchang.tsc/deepresearch/AgentJet"
+export AJET_ROOT="/mnt/data_cpfs/taoshuchang.tsc/deepresearch/AgentJet_new"
 
 NNODES=${WORLD_SIZE}
 
@@ -56,12 +55,11 @@ sed -e "s|{{SUFFIX}}|${SUFFIX}|g" \
     -e "s|{{MODEL_PATH}}|${MODEL_PATH}|g" \
     -e "s|{{NNODES}}|${NNODES}|g" \
     -e "s|{{RM_WEIGHT}}|${RM_WEIGHT}|g" \
-    -e "s|{{CITATION_AUDIT_WEIGHT}}|${CITATION_AUDIT_WEIGHT}|g" \
+    -e "s|{{PRESENTATION_QUALITY_WEIGHT}}|${PRESENTATION_QUALITY_WEIGHT}|g" \
+    -e "s|{{GROUNDING_WEIGHT}}|${GROUNDING_WEIGHT}|g" \
     -e "s|{{OPENJUDGE_LLM}}|${OPENJUDGE_LLM}|g" \
     -e "s|{{RM_LLM}}|${RM_LLM}|g" \
     -e "s|{{JUDGE_CONCURRENCY}}|${JUDGE_CONCURRENCY}|g" \
-    -e "s|{{REPORT_RESOLUTION_WEIGHT}}|${REPORT_RESOLUTION_WEIGHT}|g" \
-    -e "s|{{TRAJECTORY_FAITHFULNESS_WEIGHT}}|${TRAJECTORY_FAITHFULNESS_WEIGHT}|g" \
     -e "s|{{NUM_REPEAT}}|${NUM_REPEAT}|g" \
     -e "s|{{NUM_STEPS}}|${NUM_STEPS}|g" \
     -e "s|{{TRAIN_BATCH_SIZE}}|${TRAIN_BATCH_SIZE}|g" \
@@ -73,7 +71,7 @@ sed -e "s|{{SUFFIX}}|${SUFFIX}|g" \
     ${AJET_ROOT}/${CONFIG_TEMPLATE} > ${CONFIG_FILE}
 
 echo "配置文件已生成: ${CONFIG_FILE}"
-echo "参数确认: RM=${RM_WEIGHT}, Citation=${CITATION_AUDIT_WEIGHT}, OpenJudge=${OPENJUDGE_LLM}, RM_LLM=${RM_LLM}"
+echo "参数确认: RM=${RM_WEIGHT}, PresentationQuality=${PRESENTATION_QUALITY_WEIGHT}, Grounding=${GROUNDING_WEIGHT}, OpenJudge=${OPENJUDGE_LLM}, RM_LLM=${RM_LLM}"
 
 #===============================================================================
 # 3. 环境配置
@@ -115,7 +113,7 @@ LOG_DIR="${AJET_ROOT}/logs/${PREFIX}"
 MASTER_IP_FILE="${LOG_DIR}/master-ip_${SUFFIX}.log"
 ENV_SERVICE_LOG="${LOG_DIR}/env_service_${SUFFIX}_${CURRENT_TIME}.log"
 TRAIN_LOG="${LOG_DIR}/train_${SUFFIX}_${CURRENT_TIME}.log"
-
+env_log_prefix="${SUFFIX}__${CURRENT_TIME}"
 # 多机训练参数配置
 GPUS_PER_NODE=8
 EXPECTED_WORKERS=$WORLD_SIZE
@@ -208,7 +206,7 @@ if [[ $HOSTNAME == *"-master-"* ]]; then
         --with-deepfinance \
         --conf ${CONFIG_FILE} \
         --backbone="verl" \
-        --prefix=${SUFFIX} \
+        --prefix=${env_log_prefix} \
         2>&1 | tee ${TRAIN_LOG}