File size: 3,314 Bytes
f01a64e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 | #!/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.
# ==============================================================================
# This file is modified from:
# https://github.com/PKU-Alignment/safe-rlhf/scripts/sft.sh
# ==============================================================================
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="${LOGLEVEL:-WARNING}"
unset HOSTFILE
ZERO_STAGE=3
OFFLOAD="none"
while [[ "$#" -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#*=}"
;;
--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 "${DEEPSPEED_ARGS[@]}" \
--module training.finetune \
--train_datasets correction-json::${DATASET} \
--model_name_or_path "${MODEL_NAME_OR_PATH}" \
--max_length 2048 \
--trust_remote_code True \
--epochs 3 \
--per_device_train_batch_size 4 \
--per_device_eval_batch_size 4 \
--gradient_accumulation_steps 8 \
--gradient_checkpointing \
--learning_rate 2e-5 \
--lr_scheduler_type cosine \
--lr_warmup_ratio 0.03 \
--weight_decay 0.0 \
--seed 42 \
--output_dir "${OUTPUT_DIR}" \
--log_type wandb \
--log_project Aligner-SFT \
--zero_stage "${ZERO_STAGE}" \
--offload "${OFFLOAD}" \
--bf16 True \
--tf32 True \
--save_16bit
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