Delete multi_dcu_train.sh

multi_dcu_train.sh

-#!/bin/bash
-##  如果需要指定显卡训练可将 --num_gpus 4 改为 --include="localhost:0,3"
-deepspeed --master_port 25678 --num_gpus 4  ../FinGPT/LLaMA-Factory-main/src/train_bash.py \
-    --deepspeed ../FinGPT/LLaMA-Factory-main/deepspeed.json \
-    --stage sft \
-    --do_train \
-    --model_name_or_path THUDM/chatglm2-6b \
-    --dataset fingpt_sentiment \
-    --dataset_dir ../FinGPT/LLaMA-Factory-main/data \
-    --template chatglm3 \
-    --finetuning_type lora \
-    --lora_target all \
-    --output_dir ../FinGPT/saves/FinGPT/lora_multi_dcu/sft \
-    --overwrite_output_dir \
-    --cutoff_len 1024 \
-    --preprocessing_num_workers 4 \
-    --per_device_train_batch_size 4 \
-    --per_device_eval_batch_size 4 \
-    --gradient_accumulation_steps 1 \
-    --lr_scheduler_type cosine \
-    --logging_steps 10 \
-    --warmup_steps 20 \
-    --save_steps 100 \
-    --eval_steps 100 \
-    --evaluation_strategy steps \
-    --load_best_model_at_end \
-    --learning_rate 5e-5 \
-    --num_train_epochs 3.0 \
-    --max_samples 3000 \
-    --val_size 0.1 \
-    --ddp_timeout 180000000 \
-    --plot_loss \
-    --fp16