Lora微调，在训练时底层C++代码出错

[lyh120]

Describe the bug/ 问题描述 (Mandatory / 必填)
A clear and concise description of what the bug is.

• Hardware Environment(Ascend/GPU/CPU) / 硬件环境:

Please delete the backend not involved / 请删除不涉及的后端:
/device ascend/GPU/CPU/kirin/等其他芯片

• Software Environment / 软件环境 (Mandatory / 必填):
  -- MindSpore version (e.g., 1.7.0.Bxxx) :
  -- Python version (e.g., Python 3.7.5) :
  -- OS platform and distribution (e.g., Linux Ubuntu 16.04):
  -- GCC/Compiler version (if compiled from source):

• Excute Mode / 执行模式 (Mandatory / 必填)(PyNative/Graph):

Please delete the mode not involved / 请删除不涉及的模式:
/mode pynative
/mode graph

• To Reproduce / 重现步骤 (Mandatory / 必填)
  Steps to reproduce the behavior:
  1.下载mindnlp源码
  git clone https://github.com/mindspore-lab/mindnlp/
  cd mindnlp
  bash scripts/build_and_reinstall.sh
  2.对应的Lora微调代码

-------------------------

Step 6: 训练参数

-------------------------

args = TrainingArguments(
output_dir="./output_lora_sarcasm",
per_device_train_batch_size=4,
gradient_accumulation_steps=5,
logging_steps=10,
num_train_epochs=3,
save_steps=100,
learning_rate=1e-4,
save_on_each_node=True,
)

trainer = Trainer(
model=model,
args=args,
train_dataset=tokenized_id,
data_collator=DataCollatorForSeq2Seq(tokenizer=tokenizer, padding=True),
)

trainer.train()
trainer.save_model()

• Expected behavior / 预期结果 (Mandatory / 必填)
  可以成功训练，但实际似乎库的内部C++代码有错误，参数传递的错误

• 测试案例通过
  Screenshots/ 日志 / 截图 (Mandatory / 必填)

[lvyufeng]

用的0.6？

[lyh120]

对的，准备改用旧版了

[lyh120]

0.6感觉有问题

[lvyufeng]

我测一下

[lyh120]

好滴好滴，谢谢老师，辛苦啦