script.sh

#!/usr/bin/env bash
#
# Copyright 2023 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}"

MODEL_NAME_OR_PATH="/mnt/data/jiayi/Llama-2-7b-hf"
OUTPUT_DIR="${ROOT_DIR}/alpaca-2"
unset HOSTFILE
ZERO_STAGE=3
OFFLOAD="none"
while [[ "$#" -gt 0 ]]; do
	arg="$1"
	shift
	case "${arg}" in
		--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#*=}"
			;;
		--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"

if [[ -z "${WANDB_API_KEY}" ]]; then
	export WANDB_MODE="offline"
fi

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)

torchrun --nproc_per_node=8 --master_port="${MASTER_PORT}" train.py \
    --model_name_or_path "${MODEL_NAME_OR_PATH}" \
    --data_path ./alpaca_data.json \
    --bf16 True \
    --output_dir "${OUTPUT_DIR}" \
    --num_train_epochs 3 \
    --per_device_train_batch_size 4 \
    --per_device_eval_batch_size 4 \
    --gradient_accumulation_steps 8 \
    --evaluation_strategy "no" \
    --save_strategy "steps" \
    --save_steps 2000 \
    --save_total_limit 1 \
    --learning_rate 2e-5 \
    --weight_decay 0. \
    --warmup_ratio 0.03 \
    --lr_scheduler_type "cosine" \
    --logging_steps 1 \
    --fsdp "full_shard auto_wrap" \
    --fsdp_transformer_layer_cls_to_wrap 'LlamaDecoderLayer' \
    --tf32 True