fixing issues and quality ✨

examples/conditional_generation/peft_lora_seq2seq_accelerate_fsdp.py

@@ -2,13 +2,13 @@ import os
 
 import torch
 from accelerate import Accelerator
+from datasets import load_dataset
 from torch.utils.data import DataLoader
+from tqdm import tqdm
 from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, default_data_collator, get_linear_schedule_with_warmup
 
-from datasets import load_dataset
 from peft import LoraConfig, TaskType, get_peft_model
 from peft.utils.other import fsdp_auto_wrap_policy
-from tqdm import tqdm
 
 
 def main():