我正在运行run_clm.py，以按照language_modeling示例对gpt-2进行优化，使其形成了拥抱面库：
!python run_clm.py \
--model_name_or_path gpt2 \
--train_file train.txt \
--validation_file test.txt \
--do_train \
--do_eval \
--output_dir /tmp/test-clm
这是输出，进程似乎已经开始，但是出现了 ^ C 来停止进程：
The following columns in the training set don't have a corresponding argument in `GPT2LMHeadModel.forward` and have been ignored: .
The following columns in the evaluation set don't have a corresponding argument in `GPT2LMHeadModel.forward` and have been ignored: .
***** Running training *****
Num examples = 2318
Num Epochs = 3
Instantaneous batch size per device = 8
Total train batch size (w. parallel, distributed & accumulation) = 8
Gradient Accumulation steps = 1
Total optimization steps = 870
0% 0/870 [00:00<?, ?it/s]^C
这是我的环境信息：
提前停止的可能触发因素是什么？