fix run_6.7b.sh for single gpu

applications/DeepSpeed-Chat/training/step1_supervised_finetuning/training_scripts/single_gpu/run_6.7b.sh

@@ -0,0 +1,31 @@
+#!/bin/bash
+# Copyright (c) Microsoft Corporation.
+# SPDX-License-Identifier: Apache-2.0
+
+# DeepSpeed Team
+
+# Note that usually LoRA needs to use larger learning rate
+OUTPUT_PATH=./output
+mkdir -p $OUTPUT_PATH
+
+deepspeed --num_gpus 1 main.py \
+   --data_path Dahoas/rm-static Dahoas/full-hh-rlhf Dahoas/synthetic-instruct-gptj-pairwise yitingxie/rlhf-reward-datasets openai/webgpt_comparisons stanfordnlp/SHP \
+   --data_split 2,4,4 \
+   --model_name_or_path facebook/opt-6.7b \
+   --per_device_train_batch_size 8 \
+   --per_device_eval_batch_size 8 \
+   --max_seq_len 512 \
+   --learning_rate 1e-3 \
+   --weight_decay 0.1 \
+   --num_train_epochs 2 \
+   --gradient_accumulation_steps 16 \
+   --lr_scheduler_type cosine \
+   --num_warmup_steps 0 \
+   --seed 1234 \
+   --gradient_checkpointing \
+   --zero_stage 0 \
+   --lora_dim 128 \
+   --lora_module_name decoder.layers. \
+   --deepspeed \
+   --output_dir $OUTPUT_PATH \
+   &> $OUTPUT_PATH/training.log

applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/training_scripts/single_gpu/run_6.7b.sh

@@ -0,0 +1,49 @@
+#!/bin/bash
+# Copyright (c) Microsoft Corporation.
+# SPDX-License-Identifier: Apache-2.0
+
+# DeepSpeed Team
+ACTOR_MODEL_PATH=${1:-"../output/actor_model"}
+CRITIC_MODEL_PATH=${2:-"../output/critic_model"}
+ACTOR_ZERO_STAGE=${3:-"--actor_zero_stage 0"}
+CRITIC_ZERO_STAGE=${4:-"--critic_zero_stage 0"}
+OUTPUT=${5:-"./output"}
+
+
+Num_Padding_at_Beginning=1 # this is model related
+
+Actor_Lr=5e-4
+Critic_Lr=5e-6
+
+mkdir -p $OUTPUT
+
+deepspeed --num_gpus 1 main.py \
+   --data_path Dahoas/rm-static Dahoas/full-hh-rlhf Dahoas/synthetic-instruct-gptj-pairwise yitingxie/rlhf-reward-datasets openai/webgpt_comparisons stanfordnlp/SHP \
+   --data_split 2,4,4 \
+   --actor_model_name_or_path $ACTOR_MODEL_PATH \
+   --critic_model_name_or_path $CRITIC_MODEL_PATH \
+   --num_padding_at_beginning 1 \
+   --per_device_train_batch_size 8 \
+   --per_device_mini_train_batch_size 8 \
+   --generation_batch_numbers 1 \
+   --ppo_epochs 1 \
+   --max_answer_seq_len 256 \
+   --max_prompt_seq_len 256 \
+   --ppo_epochs 1 \
+   --actor_learning_rate ${Actor_Lr} \
+   --critic_learning_rate ${Critic_Lr} \
+   --actor_weight_decay 0.1 \
+   --critic_weight_decay 0.1 \
+   --num_train_epochs 1 \
+   --lr_scheduler_type cosine \
+   --gradient_accumulation_steps 16 \
+   --num_warmup_steps 100 \
+   --deepspeed --seed 1234 \
+   ${ACTOR_ZERO_STAGE} \
+   ${CRITIC_ZERO_STAGE} ${OFFLOAD}\
+   --actor_lora_dim 128 \
+   --actor_gradient_checkpointing \
+   --critic_gradient_checkpointing \
+   --enable_hybrid_engine \
+   --output_dir $OUTPUT \
+    &> $OUTPUT/training.log