Upload rl_code/examples/qwen2_5_vl_7b_geo3k_dapo.sh with huggingface_hub
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rl_code/examples/qwen2_5_vl_7b_geo3k_dapo.sh
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#!/bin/bash
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set -x
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export PYTHONUNBUFFERED=1
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MODEL_PATH=Qwen/Qwen2.5-VL-7B-Instruct # replace it with your local file path
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python3 -m verl.trainer.main \
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config=examples/config.yaml \
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data.train_files=hiyouga/geometry3k@train \
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data.val_files=hiyouga/geometry3k@test \
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data.mini_rollout_batch_size=128 \
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worker.actor.model.model_path=${MODEL_PATH} \
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worker.actor.clip_ratio_low=0.2 \
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worker.actor.clip_ratio_high=0.28 \
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algorithm.disable_kl=True \
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algorithm.online_filtering=True \
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trainer.experiment_name=qwen2_5_vl_7b_geo_dapo \
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trainer.n_gpus_per_node=8
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