#!/bin/bash

# 激活conda环境
# source $(conda info --base)/etc/profile.d/conda.sh
# conda activate ycz_accelerate

# 设置环境变量以帮助调试
export NCCL_DEBUG=INFO
export PYTHONFAULTHANDLER=1

# 实验1.3.0 - 使用命令行参数直接配置accelerate
CUDA_VISIBLE_DEVICES=0 accelerate launch \
    --num_processes=1 \
    --mixed_precision=bf16 \
    --main_process_port=29500 \
    train_pretrain_accelerate.py \
    --out_dir "out" \
    --epochs 3 \
    --embedding_epoch 2 \
    --batch_size 128 \
    --learning_rate 8e-5 \
    --dtype bfloat16 \
    --use_swanlab \
    --swanlab_project "MiniMind-Pretrain" \
    --num_workers 1 \
    --accumulation_steps 16 \
    --grad_clip 0.5 \
    --warmup_iters 0 \
    --log_interval 100 \
    --save_interval 10000 \
    --dim 512 \
    --n_layers 8 \
    --max_seq_len 512 \
    --data_path "./dataset/stable/merged_pretrain.jsonl" \
    --profile \
    --profile_interval 10 \
    --use_flash_attn \
    --knowledge_num 1048576 \
    --knowledge_length 32 \
    --database_init_path "./dataset/stable/sentence_trex_data.json" \
    --fast_clustering \
    --cluster_cache_path "./cache/cluster_tokens_single.pt" \
    --memory_monitor_interval 10 \
    --model_type "model" \
    --model_size 538