#!/bin/bash
set -e

BASE="/data/repos/agentica-rllm/scripts/train/deepcoder/checkpoints/deepcoder-1.7b"

run_eval() {
    local model_path="$1"
    local nickname="$2"
    echo "Running eval: $nickname"
    CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python -m lcb_runner.runner.main \
        --model "$model_path" \
        --nickname "$nickname" \
        --scenario codegeneration \
        --evaluate \
        --release_version v4_v6 \
        --n 256 \
        --temperature 0.6 \
        --top_p 0.95 \
        --tensor_parallel_size 8 \
        --num_process_evaluate 60
}



# run_eval "$BASE/adv:maxrl-cont:false/global_step_100/actor/checkpoint"  maxrl_binary_100
# run_eval "$BASE/adv:tailrl-cont:true/global_step_100/actor/checkpoint"  tailrl_cont_100
# run_eval "$BASE/adv:maxrl-cont:false/global_step_200/actor/checkpoint"  maxrl_binary_200
# run_eval "$BASE/adv:tailrl-cont:true/global_step_200/actor/checkpoint"  tailrl_cont_200
# run_eval "$BASE/adv:maxrl-cont:false/global_step_300/actor/checkpoint"  maxrl_binary_300
# run_eval "$BASE/adv:tailrl-cont:true/global_step_300/actor/checkpoint"  tailrl_cont_300
run_eval "$BASE/adv:maxrl-cont:false/global_step_400/actor/checkpoint"  maxrl_binary_400
run_eval "$BASE/adv:tailrl-cont:true/global_step_400/actor/checkpoint"  tailrl_cont_400