#!/bin/bash

set -x

export PYTHONUNBUFFERED=1

MODEL_PATH=/mnt/moonfs/kimiv-ksyun/xulin/abs/LLaMA-Factory/saves/qwen2_5vl-7b/full/ocr_sft_llm

python3 -m verl.trainer.main \
    config=examples/ocr_full_llm.yaml \
    data.train_files=/mnt/moonfs/kimiv-ksyun/xulin/datasets/OCR-VQA/ocr_vqa_clean_dataset@train \
    # data.val_files=/mnt/moonfs/kimiv-ksyun/xulin/datasets/OCR-VQA/ocr_vqa_clean_dataset/validation_subset_1000.parquet \
    worker.actor.model.model_path=${MODEL_PATH} \
    trainer.experiment_name=ocr_full_llm \
    trainer.n_gpus_per_node=8