[ColossalChat] Update RLHF V2 (#5286)

* Add dpo. Fix sft, ppo, lora. Refactor all

* fix and tested ppo

* 2 nd round refactor

* add ci tests

* fix ci

* fix ci

* fix readme, style

* fix readme style

* fix style, fix benchmark

* reproduce benchmark result, remove useless files

* rename to ColossalChat

* use new image

* fix ci workflow

* fix ci

* use local model/tokenizer for ci tests

* fix ci

* fix ci

* fix ci

* fix ci timeout

* fix rm progress bar. fix ci timeout

* fix ci

* fix ci typo

* remove 3d plugin from ci temporary

* test environment

* cannot save optimizer

* support chat template

* fix readme

* fix path

* test ci locally

* restore build_or_pr

* fix ci data path

* fix benchmark

* fix ci, move ci tests to 3080, disable fast tokenizer

* move ci to 85

* support flash attention 2

* add all-in-one data preparation script. Fix colossal-llama2-chat chat template

* add hardware requirements

* move ci test data

* fix save_model, add unwrap

* fix missing bos

* fix missing bos; support grad accumulation with gemini

* fix ci

* fix ci

* fix ci

* fix llama2 chat template config

* debug sft

* debug sft

* fix colossalai version requirement

* fix ci

* add sanity check to prevent NaN loss

* fix requirements

* add dummy data generation script

* add dummy data generation script

* add dummy data generation script

* add dummy data generation script

* update readme

* update readme

* update readme and ignore

* fix logger bug

* support parallel_output

* modify data preparation logic

* fix tokenization

* update lr

* fix inference

* run pre-commit

---------

Co-authored-by: Tong Li <tong.li352711588@gmail.com>

applications/ColossalChat/examples/training_scripts/train_ppo.sh

@@ -0,0 +1,82 @@
+#!/bin/bash
+set_n_least_used_CUDA_VISIBLE_DEVICES() {
+    local n=${1:-"9999"}
+    echo "GPU Memory Usage:"
+    local FIRST_N_GPU_IDS=$(nvidia-smi --query-gpu=memory.used --format=csv |
+        tail -n +2 |
+        nl -v 0 |
+        tee /dev/tty |
+        sort -g -k 2 |
+        awk '{print $1}' |
+        head -n $n)
+    export CUDA_VISIBLE_DEVICES=$(echo $FIRST_N_GPU_IDS | sed 's/ /,/g')
+    echo "Now CUDA_VISIBLE_DEVICES is set to:"
+    echo "CUDA_VISIBLE_DEVICES=$CUDA_VISIBLE_DEVICES"
+}
+set_n_least_used_CUDA_VISIBLE_DEVICES 8
+
+PROJECT_NAME="ppo"
+
+PARENT_SAVE_DIR="" # Path to a folder to save checkpoints
+PARENT_TENSORBOARD_DIR="" # Path to a folder to save logs
+PARENT_CONFIG_FILE="" # Path to a folder to save training config logs
+PRETRAINED_MODEL_PATH="" # local pretrained model path (from RLHF step 1: SFT)
+PRETRAINED_TOKENIZER_PATH="" # huggingface or local tokenizer path
+REWARD_MODEL_PATH="" # local reward model path (from RLHF step 2: Train Reward Model)
+CONVERSATION_TEMPLATE_CONFIG_PATH="" # path to the conversation config file
+
+declare -a prompt_dataset=(
+    YOUR/PROMPT/DATA/DIR/arrow/part-00000
+    YOUR/PROMPT/DATA/DIR/arrow/part-00001
+    YOUR/PROMPT/DATA/DIR/arrow/part-00002
+    YOUR/PROMPT/DATA/DIR/arrow/part-00003
+    YOUR/PROMPT/DATA/DIR/arrow/part-00004
+    YOUR/PROMPT/DATA/DIR/arrow/part-00005
+    YOUR/PROMPT/DATA/DIR/arrow/part-00006
+    YOUR/PROMPT/DATA/DIR/arrow/part-00007
+    YOUR/PROMPT/DATA/DIR/arrow/part-00008
+    YOUR/PROMPT/DATA/DIR/arrow/part-00009
+)
+
+declare -a ptx_dataset=(
+    YOUR/SFT/DATA/DIR/arrow/part-00000
+    YOUR/SFT/DATA/DIR/arrow/part-00001
+    YOUR/SFT/DATA/DIR/arrow/part-00002
+    YOUR/SFT/DATA/DIR/arrow/part-00003
+    YOUR/SFT/DATA/DIR/arrow/part-00004
+    YOUR/SFT/DATA/DIR/arrow/part-00005
+    YOUR/SFT/DATA/DIR/arrow/part-00006
+    YOUR/SFT/DATA/DIR/arrow/part-00007
+    YOUR/SFT/DATA/DIR/arrow/part-00008
+    YOUR/SFT/DATA/DIR/arrow/part-00009
+)
+
+TIMESTAMP=$(date +%Y-%m-%d-%H-%M-%S)
+FULL_PROJECT_NAME="${PROJECT_NAME}-${TIMESTAMP}"
+SAVE_DIR="${PARENT_SAVE_DIR}${FULL_PROJECT_NAME}"
+CONFIG_FILE="${PARENT_CONFIG_FILE}-${FULL_PROJECT_NAME}.json"
+
+colossalai run --nproc_per_node 8 --hostfile hostfile --master_port 31312 train_ppo.py \
+    --pretrain $PRETRAINED_MODEL_PATH \
+    --rm_pretrain $PRETRAINED_MODEL_PATH \
+    --tokenizer_dir $PRETRAINED_TOKENIZER_PATH \
+    --rm_checkpoint_path $REWARD_MODEL_PATH \
+    --prompt_dataset ${prompt_dataset[@]} \
+    --conversation_template_config $CONVERSATION_TEMPLATE_CONFIG_PATH \
+    --ptx_coef 0.0 \
+    --plugin "zero2" \
+    --save_interval 500 \
+    --save_path $SAVE_DIR \
+    --num_episodes 2000 \
+    --num_collect_steps 2 \
+    --num_update_steps 1 \
+    --experience_batch_size 4 \
+    --train_batch_size 4 \
+    --accumulation_steps 2 \
+    --lr 9e-6 \
+    --mixed_precision "bf16" \
+    --grad_clip 0.1\
+    --weight_decay 0.01 \
+    --warmup_steps 40 \
+    --grad_checkpoint \
+    --use_wandb