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#!/usr/bin/env bash
#
# Copyright 2024 PKU-Alignment Team. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
if [ -z "${BASH_VERSION}" ]; then
echo "Please use bash to run this script." >&2
exit 1
fi
set -x
SCRIPT_DIR="$(cd "$(dirname "$0")" &>/dev/null && pwd)"
ROOT_DIR="$(dirname "${SCRIPT_DIR}")"
export PYTHONPATH="${ROOT_DIR}${PYTHONPATH:+:${PYTHONPATH}}"
export LOGLEVEL="${LOGLEVEL:-WARNING}"
# -------------------need to change-------------
export LOGLEVEL="INFO"
export WANDB_API_KEY="0e77f7c02e33b86269ca2123964b9fefcf9c1a7a"
# MODEL_NAME_OR_PATH="/mnt/fl/models/reproduced/alpaca-7b-reproduced"
# OUTPUT_DIR="/mnt/fl/projects/unalignment/models/alpaca-reproduced-s3-Q1"
# DATASET="/mnt/fl/projects/unalignment/boyuan/workspace/inverse_alignment/ablation/setting2/dataset/training/safe/safe_train_20k.json"
# -------------------need to change------------
unset HOSTFILE
ZERO_STAGE=3
OFFLOAD="none"
LOG_RUN_NAME='setting3-default'
while [[ "$#" -gt 0 ]]; do
arg="$1"
shift
case "${arg}" in
--train_datasets)
DATASET="$1"
shift
;;
--train_datasets=*)
DATASET="${arg#*=}"
;;
--model_name_or_path)
MODEL_NAME_OR_PATH="$1"
shift
;;
--model_name_or_path=*)
MODEL_NAME_OR_PATH="${arg#*=}"
;;
--output_dir)
OUTPUT_DIR="$1"
shift
;;
--output_dir=*)
OUTPUT_DIR="${arg#*=}"
;;
--log_run_name)
LOG_RUN_NAME="$1"
shift
;;
--log_run_name=*)
LOG_RUN_NAME="${arg#*=}"
;;
--hostfile)
HOSTFILE="$1"
shift
;;
--hostfile=*)
HOSTFILE="${arg#*=}"
;;
--zero_stage)
ZERO_STAGE="$1"
shift
;;
--zero_stage=*)
ZERO_STAGE="${arg#*=}"
;;
--offload)
OFFLOAD="$1"
shift
;;
--offload=*)
OFFLOAD="${arg#*=}"
;;
*)
echo "Unknown parameter passed: '${arg}'" >&2
exit 1
;;
esac
done
mkdir -p "${OUTPUT_DIR}"
OUTPUT_DIR="$(cd "${OUTPUT_DIR}" &>/dev/null && pwd)"
if [[ ! -f "${OUTPUT_DIR}/.gitignore" ]]; then
echo '*' >"${OUTPUT_DIR}/.gitignore"
fi
cp -f "$0" "${OUTPUT_DIR}/script.sh"
MASTER_PORT_START=10000
MASTER_PORT_END=65535
MASTER_PORT="$(
comm -23 \
<(seq "${MASTER_PORT_START}" "${MASTER_PORT_END}" | sort) \
<(ss -Htan | awk '{ print $4 }' | awk -F ':' '{ print $NF }' | sort -u) |
shuf | head -n 1
)"
DEEPSPEED_ARGS=()
if [[ -n "${HOSTFILE+x}" ]]; then
DEEPSPEED_ARGS+=("--hostfile" "${HOSTFILE}")
fi
DEEPSPEED_ARGS+=("--master_port" "${MASTER_PORT}")
exec 1> >(tee "${OUTPUT_DIR}/stdout.log" >&1) 2> >(tee "${OUTPUT_DIR}/stderr.log" >&2)
deepspeed "${DEEPSPEED_ARGS[@]}" \
--module safe_rlhf.finetune \
--train_datasets inverse-json::${DATASET} \
--model_name_or_path "${MODEL_NAME_OR_PATH}" \
--max_length 512 \
--trust_remote_code True \
--epochs 1 \
--per_device_train_batch_size 1 \
--per_device_eval_batch_size 4 \
--gradient_accumulation_steps 8 \
--gradient_checkpointing \
--learning_rate 1e-5 \
--lr_warmup_ratio 0 \
--weight_decay 0.0 \
--lr_scheduler_type constant \
--weight_decay 0.0 \
--seed 42 \
--output_dir "${OUTPUT_DIR}" \
--log_type wandb \
--log_run_name "${LOG_RUN_NAME}" \
--log_project Inverse_Alignment_IMDb \
--zero_stage "${ZERO_STAGE}" \
--offload "${OFFLOAD}" \
--bf16 True \
--tf32 True \
--save_16bit
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