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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  LLaMA-Factory-main/src/train_bash.py \
+    --deepspeed /LLaMA-Factory-main/deepspeed.json \
+    --stage sft \
+    --do_train \
+    --model_name_or_path THUDM/chatglm2-6b \
+    --dataset fingpt_sentiment \
+    --dataset_dir LLaMA-Factory-main/data \
+    --template chatglm3 \
+    --finetuning_type lora \
+    --lora_target all \
+    --output_dir 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