Multi-GPU fails 
## Environment info

- transformers version: 4.6.1
- Platform: Linux-4.19.0-17-cloud-amd64-x86_64-with-glibc2.10
- Python version: 3.8.10
- PyTorch version (GPU?): 1.8.1+cu111
- Tensorflow version (GPU?): not installed
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: Data Parallel

### Who can help

Models:
- openai-gpt: @sgugger

Library:
- trainer: @sgugger

Examples:
- maintained examples (not research project or legacy): @sgugger, @patil-suraj

## Information

Model I am using (Bert, XLNet ...): openai-gpt

The problem arises when using:
* [X] the official example scripts: (give details below)
* [ ] my own modified scripts: (give details below)

The tasks I am working on is:
* [ ] an official GLUE/SQUaD task: (give the name)
* [X] my own task or dataset: (give details below)

My dataset is a simple text file with strings for causal language modelling.

## To reproduce

```
python run_clm.py     --model_name_or_path openai-gpt     --train_file dataset/train.txt --validation_file dataset/eval.txt     --do_train     --do_eval     --output_dir /tmp/ --method range --source fi.json --from_scratch --per_device_eval_batch_size 4 --per_device_train_batch_size 4
```

Error Log:
```
2021-07-26T14:09:12.968147055Z	sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2021-07-26T14:09:14.905455906Z	07/26/2021 14:09:14 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 2distributed training: False, 16-bits training: False
2021-07-26T14:09:14.90566887Z	07/26/2021 14:09:14 - INFO - __main__ - Training/evaluation parameters TrainingArguments(
2021-07-26T14:09:14.905680763Z	_n_gpu=2,
2021-07-26T14:09:14.905686554Z	adafactor=False,
2021-07-26T14:09:14.905691893Z	adam_beta1=0.9,
2021-07-26T14:09:14.905697154Z	adam_beta2=0.999,
2021-07-26T14:09:14.9057025Z	adam_epsilon=1e-08,
2021-07-26T14:09:14.90570797Z	dataloader_drop_last=False,
2021-07-26T14:09:14.905713094Z	dataloader_num_workers=0,
2021-07-26T14:09:14.905718126Z	dataloader_pin_memory=True,
2021-07-26T14:09:14.905723969Z	ddp_find_unused_parameters=None,
2021-07-26T14:09:14.905729253Z	debug=[],
2021-07-26T14:09:14.905734499Z	deepspeed=None,
2021-07-26T14:09:14.9057397Z	disable_tqdm=False,
2021-07-26T14:09:14.905744923Z	do_eval=True,
2021-07-26T14:09:14.905749956Z	do_predict=False,
2021-07-26T14:09:14.90575516Z	do_train=True,
2021-07-26T14:09:14.90576029Z	eval_accumulation_steps=None,
2021-07-26T14:09:14.905766046Z	eval_steps=500,
2021-07-26T14:09:14.905771809Z	evaluation_strategy=IntervalStrategy.STEPS,
2021-07-26T14:09:14.905777566Z	fp16=False,
2021-07-26T14:09:14.905782742Z	fp16_backend=auto,
2021-07-26T14:09:14.905787796Z	fp16_full_eval=False,
2021-07-26T14:09:14.90579285Z	fp16_opt_level=O1,
2021-07-26T14:09:14.90579783Z	gradient_accumulation_steps=32,
2021-07-26T14:09:14.905802916Z	greater_is_better=None,
2021-07-26T14:09:14.905808523Z	group_by_length=False,
2021-07-26T14:09:14.905813853Z	ignore_data_skip=False,
2021-07-26T14:09:14.905819176Z	label_names=None,
2021-07-26T14:09:14.905824413Z	label_smoothing_factor=0.0,
2021-07-26T14:09:14.905829632Z	learning_rate=5e-05,
2021-07-26T14:09:14.905834616Z	length_column_name=length,
2021-07-26T14:09:14.905839636Z	load_best_model_at_end=False,
2021-07-26T14:09:14.905844662Z	local_rank=-1,
2021-07-26T14:09:14.905850119Z	log_level=-1,
2021-07-26T14:09:14.905855292Z	log_level_replica=-1,
2021-07-26T14:09:14.905860668Z	log_on_each_node=True,
2021-07-26T14:09:14.905865976Z	logging_dir=result/runs/Jul26_14-09-14_cffe56d6abc4,
2021-07-26T14:09:14.905871216Z	logging_first_step=False,
2021-07-26T14:09:14.905876242Z	logging_steps=500,
2021-07-26T14:09:14.905881425Z	logging_strategy=IntervalStrategy.STEPS,
2021-07-26T14:09:14.905903565Z	lr_scheduler_type=SchedulerType.LINEAR,
2021-07-26T14:09:14.905909738Z	max_grad_norm=1.0,
2021-07-26T14:09:14.905915195Z	max_steps=50000,
2021-07-26T14:09:14.905920608Z	metric_for_best_model=None,
2021-07-26T14:09:14.905925952Z	mp_parameters=,
2021-07-26T14:09:14.905931035Z	no_cuda=False,
2021-07-26T14:09:14.905936031Z	num_train_epochs=3.0,
2021-07-26T14:09:14.905941121Z	output_dir=result,
2021-07-26T14:09:14.905946155Z	overwrite_output_dir=True,
2021-07-26T14:09:14.905951772Z	past_index=-1,
2021-07-26T14:09:14.905957084Z	per_device_eval_batch_size=16,
2021-07-26T14:09:14.905962457Z	per_device_train_batch_size=32,
2021-07-26T14:09:14.905967855Z	prediction_loss_only=False,
2021-07-26T14:09:14.905973078Z	push_to_hub=False,
2021-07-26T14:09:14.905978145Z	push_to_hub_model_id=result,
2021-07-26T14:09:14.905983324Z	push_to_hub_organization=None,
2021-07-26T14:09:14.905988388Z	push_to_hub_token=None,
2021-07-26T14:09:14.905993985Z	remove_unused_columns=True,
2021-07-26T14:09:14.905999497Z	report_to=[],
2021-07-26T14:09:14.906004944Z	resume_from_checkpoint=None,
2021-07-26T14:09:14.906010281Z	run_name=result,
2021-07-26T14:09:14.906015348Z	save_on_each_node=False,
2021-07-26T14:09:14.906020454Z	save_steps=500,
2021-07-26T14:09:14.906025527Z	save_strategy=IntervalStrategy.STEPS,
2021-07-26T14:09:14.906030714Z	save_total_limit=1,
2021-07-26T14:09:14.906036287Z	seed=42,
2021-07-26T14:09:14.90604172Z	sharded_ddp=[],
2021-07-26T14:09:14.90604725Z	skip_memory_metrics=True,
2021-07-26T14:09:14.906052407Z	tpu_metrics_debug=False,
2021-07-26T14:09:14.906057473Z	tpu_num_cores=None,
2021-07-26T14:09:14.906062617Z	use_legacy_prediction_loop=False,
2021-07-26T14:09:14.906067774Z	warmup_ratio=0.0,
2021-07-26T14:09:14.90607286Z	warmup_steps=0,
2021-07-26T14:09:14.906078463Z	weight_decay=0.0,
2021-07-26T14:09:14.906083927Z	)
2021-07-26T14:09:15.117365107Z	07/26/2021 14:09:15 - WARNING - datasets.builder - Using custom data configuration default-dfca9c6f12495150
2021-07-26T14:09:15.118233822Z	07/26/2021 14:09:15 - INFO - datasets.utils.filelock - Lock 139871027286176 acquired on /root/.cache/huggingface/datasets/_root_.cache_huggingface_datasets_text_default-dfca9c6f12495150_0.0.0_e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5.lock
2021-07-26T14:09:15.118379685Z	07/26/2021 14:09:15 - INFO - datasets.utils.filelock - Lock 139871027286176 released on /root/.cache/huggingface/datasets/_root_.cache_huggingface_datasets_text_default-dfca9c6f12495150_0.0.0_e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5.lock
2021-07-26T14:09:15.118514014Z	07/26/2021 14:09:15 - INFO - datasets.utils.filelock - Lock 139866173991472 acquired on /root/.cache/huggingface/datasets/_root_.cache_huggingface_datasets_text_default-dfca9c6f12495150_0.0.0_e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5.lock
2021-07-26T14:09:15.118567887Z	07/26/2021 14:09:15 - INFO - datasets.builder - Generating dataset text (/root/.cache/huggingface/datasets/text/default-dfca9c6f12495150/0.0.0/e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5)
2021-07-26T14:09:15.12032563Z	Downloading and preparing dataset text/default (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /root/.cache/huggingface/datasets/text/default-dfca9c6f12495150/0.0.0/e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5...
2021-07-26T14:09:15.120337297Z	07/26/2021 14:09:15 - INFO - datasets.utils.download_manager - Downloading took 0.0 min
2021-07-26T14:09:15.121994254Z	07/26/2021 14:09:15 - INFO - datasets.utils.download_manager - Checksum Computation took 0.0 min
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2021-07-26T14:09:15.124508599Z	07/26/2021 14:09:15 - INFO - datasets.utils.info_utils - Unable to verify checksums.
2021-07-26T14:09:15.124597847Z	07/26/2021 14:09:15 - INFO - datasets.builder - Generating split train
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2021-07-26T14:09:15.128544997Z	07/26/2021 14:09:15 - INFO - datasets.arrow_writer - Done writing 2000 examples in 164067 bytes /root/.cache/huggingface/datasets/text/default-dfca9c6f12495150/0.0.0/e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5.incomplete/text-train.arrow.
2021-07-26T14:09:15.128626548Z	07/26/2021 14:09:15 - INFO - datasets.builder - Generating split validation
2021-07-26T14:09:15.12993743Z	07/26/2021 14:09:15 - INFO - datasets.arrow_writer - Done writing 1000 examples in 90150 bytes /root/.cache/huggingface/datasets/text/default-dfca9c6f12495150/0.0.0/e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5.incomplete/text-validation.arrow.
2021-07-26T14:09:15.130003546Z	07/26/2021 14:09:15 - INFO - datasets.utils.info_utils - Unable to verify splits sizes.
2021-07-26T14:09:15.130088692Z	07/26/2021 14:09:15 - INFO - datasets.utils.filelock - Lock 139866173989600 acquired on /root/.cache/huggingface/datasets/_root_.cache_huggingface_datasets_text_default-dfca9c6f12495150_0.0.0_e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5.incomplete.lock
2021-07-26T14:09:15.130360478Z	07/26/2021 14:09:15 - INFO - datasets.utils.filelock - Lock 139866173989600 released on /root/.cache/huggingface/datasets/_root_.cache_huggingface_datasets_text_default-dfca9c6f12495150_0.0.0_e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5.incomplete.lock
2021-07-26T14:09:15.130449829Z	Dataset text downloaded and prepared to /root/.cache/huggingface/datasets/text/default-dfca9c6f12495150/0.0.0/e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5. Subsequent calls will reuse this data.
2021-07-26T14:09:15.130456275Z	07/26/2021 14:09:15 - INFO - datasets.utils.filelock - Lock 139866173991472 released on /root/.cache/huggingface/datasets/_root_.cache_huggingface_datasets_text_default-dfca9c6f12495150_0.0.0_e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5.lock
2021-07-26T14:09:15.130475953Z	07/26/2021 14:09:15 - INFO - datasets.builder - Constructing Dataset for split train, validation, from /root/.cache/huggingface/datasets/text/default-dfca9c6f12495150/0.0.0/e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5
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2021-07-26T14:09:15.31416541Z	[INFO|file_utils.py:1624] 2021-07-26 14:09:15,313 >> https://huggingface.co/openai-gpt/resolve/main/config.json not found in cache or force_download set to True, downloading to /root/.cache/huggingface/transformers/tmpd5znm5l1
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2021-07-26T14:09:15.496209117Z	[INFO|file_utils.py:1628] 2021-07-26 14:09:15,496 >> storing https://huggingface.co/openai-gpt/resolve/main/config.json in cache at /root/.cache/huggingface/transformers/bebb46f5735701bc248ef9faa26f12577944fa7fc8e9be1a774b94d4cb8b79b6.ba6f10a5446f364b92311c09e55e49aa27024a4aeefc1ea50fd733b77bcd997d
2021-07-26T14:09:15.496286347Z	[INFO|file_utils.py:1636] 2021-07-26 14:09:15,496 >> creating metadata file for /root/.cache/huggingface/transformers/bebb46f5735701bc248ef9faa26f12577944fa7fc8e9be1a774b94d4cb8b79b6.ba6f10a5446f364b92311c09e55e49aa27024a4aeefc1ea50fd733b77bcd997d
2021-07-26T14:09:15.496582551Z	[INFO|configuration_utils.py:545] 2021-07-26 14:09:15,496 >> loading configuration file https://huggingface.co/openai-gpt/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/bebb46f5735701bc248ef9faa26f12577944fa7fc8e9be1a774b94d4cb8b79b6.ba6f10a5446f364b92311c09e55e49aa27024a4aeefc1ea50fd733b77bcd997d
2021-07-26T14:09:15.497318074Z	[INFO|configuration_utils.py:581] 2021-07-26 14:09:15,497 >> Model config OpenAIGPTConfig {
2021-07-26T14:09:15.497326601Z	  "afn": "gelu",
2021-07-26T14:09:15.497332651Z	  "architectures": [
2021-07-26T14:09:15.497338467Z	    "OpenAIGPTLMHeadModel"
2021-07-26T14:09:15.49734389Z	  ],
2021-07-26T14:09:15.497349194Z	  "attn_pdrop": 0.1,
2021-07-26T14:09:15.497354591Z	  "embd_pdrop": 0.1,
2021-07-26T14:09:15.497360424Z	  "initializer_range": 0.02,
2021-07-26T14:09:15.497366131Z	  "layer_norm_epsilon": 1e-05,
2021-07-26T14:09:15.4973717Z	  "model_type": "openai-gpt",
2021-07-26T14:09:15.49737771Z	  "n_ctx": 512,
2021-07-26T14:09:15.49738331Z	  "n_embd": 768,
2021-07-26T14:09:15.497388484Z	  "n_head": 12,
2021-07-26T14:09:15.497393747Z	  "n_layer": 12,
2021-07-26T14:09:15.497399167Z	  "n_positions": 512,
2021-07-26T14:09:15.497404934Z	  "n_special": 0,
2021-07-26T14:09:15.497410553Z	  "predict_special_tokens": true,
2021-07-26T14:09:15.497416327Z	  "resid_pdrop": 0.1,
2021-07-26T14:09:15.497434673Z	  "summary_activation": null,
2021-07-26T14:09:15.497440436Z	  "summary_first_dropout": 0.1,
2021-07-26T14:09:15.497446023Z	  "summary_proj_to_labels": true,
2021-07-26T14:09:15.497451297Z	  "summary_type": "cls_index",
2021-07-26T14:09:15.497456789Z	  "summary_use_proj": true,
2021-07-26T14:09:15.49746268Z	  "task_specific_params": {
2021-07-26T14:09:15.497468433Z	    "text-generation": {
2021-07-26T14:09:15.497474113Z	      "do_sample": true,
2021-07-26T14:09:15.497479797Z	      "max_length": 50
2021-07-26T14:09:15.497485073Z	    }
2021-07-26T14:09:15.49749015Z	  },
2021-07-26T14:09:15.497495326Z	  "transformers_version": "4.9.0",
2021-07-26T14:09:15.497500982Z	  "vocab_size": 40478
2021-07-26T14:09:15.497506886Z	}
2021-07-26T14:09:15.497512492Z	
2021-07-26T14:09:15.675411198Z	[INFO|tokenization_auto.py:432] 2021-07-26 14:09:15,674 >> Could not locate the tokenizer configuration file, will try to use the model config instead.
2021-07-26T14:09:15.851918363Z	[INFO|configuration_utils.py:545] 2021-07-26 14:09:15,851 >> loading configuration file https://huggingface.co/openai-gpt/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/bebb46f5735701bc248ef9faa26f12577944fa7fc8e9be1a774b94d4cb8b79b6.ba6f10a5446f364b92311c09e55e49aa27024a4aeefc1ea50fd733b77bcd997d
2021-07-26T14:09:15.852684702Z	[INFO|configuration_utils.py:581] 2021-07-26 14:09:15,852 >> Model config OpenAIGPTConfig {
2021-07-26T14:09:15.852691992Z	  "afn": "gelu",
2021-07-26T14:09:15.85269584Z	  "architectures": [
2021-07-26T14:09:15.852699315Z	    "OpenAIGPTLMHeadModel"
2021-07-26T14:09:15.852702686Z	  ],
2021-07-26T14:09:15.852706345Z	  "attn_pdrop": 0.1,
2021-07-26T14:09:15.852709633Z	  "embd_pdrop": 0.1,
2021-07-26T14:09:15.852712825Z	  "initializer_range": 0.02,
2021-07-26T14:09:15.852716035Z	  "layer_norm_epsilon": 1e-05,
2021-07-26T14:09:15.852719184Z	  "model_type": "openai-gpt",
2021-07-26T14:09:15.852722288Z	  "n_ctx": 512,
2021-07-26T14:09:15.852725375Z	  "n_embd": 768,
2021-07-26T14:09:15.852728435Z	  "n_head": 12,
2021-07-26T14:09:15.852731725Z	  "n_layer": 12,
2021-07-26T14:09:15.852734975Z	  "n_positions": 512,
2021-07-26T14:09:15.852738185Z	  "n_special": 0,
2021-07-26T14:09:15.852741425Z	  "predict_special_tokens": true,
2021-07-26T14:09:15.852744547Z	  "resid_pdrop": 0.1,
2021-07-26T14:09:15.85274759Z	  "summary_activation": null,
2021-07-26T14:09:15.852750587Z	  "summary_first_dropout": 0.1,
2021-07-26T14:09:15.852753673Z	  "summary_proj_to_labels": true,
2021-07-26T14:09:15.852769472Z	  "summary_type": "cls_index",
2021-07-26T14:09:15.852772952Z	  "summary_use_proj": true,
2021-07-26T14:09:15.852776136Z	  "task_specific_params": {
2021-07-26T14:09:15.852779304Z	    "text-generation": {
2021-07-26T14:09:15.852782414Z	      "do_sample": true,
2021-07-26T14:09:15.852785664Z	      "max_length": 50
2021-07-26T14:09:15.852788824Z	    }
2021-07-26T14:09:15.852791737Z	  },
2021-07-26T14:09:15.852795052Z	  "transformers_version": "4.9.0",
2021-07-26T14:09:15.852798497Z	  "vocab_size": 40478
2021-07-26T14:09:15.85280183Z	}
2021-07-26T14:09:15.852805286Z	
2021-07-26T14:09:16.215260602Z	[INFO|file_utils.py:1624] 2021-07-26 14:09:16,215 >> https://huggingface.co/openai-gpt/resolve/main/vocab.json not found in cache or force_download set to True, downloading to /root/.cache/huggingface/transformers/tmp5ct5tg0n
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2021-07-26T14:09:16.457666203Z	[INFO|file_utils.py:1628] 2021-07-26 14:09:16,457 >> storing https://huggingface.co/openai-gpt/resolve/main/vocab.json in cache at /root/.cache/huggingface/transformers/918c57540c636a2a662770d208fcf20aa8c3faea78201fc612e5c84f052f1119.ac55819e76b0f8b0c32cbb407436947d090d98f8952f38376ee249ed382927ab
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2021-07-26T14:09:16.642597998Z	[INFO|file_utils.py:1624] 2021-07-26 14:09:16,642 >> https://huggingface.co/openai-gpt/resolve/main/merges.txt not found in cache or force_download set to True, downloading to /root/.cache/huggingface/transformers/tmp2_1m78tv
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2021-07-26T14:09:17.0542553Z	[INFO|file_utils.py:1624] 2021-07-26 14:09:17,054 >> https://huggingface.co/openai-gpt/resolve/main/tokenizer.json not found in cache or force_download set to True, downloading to /root/.cache/huggingface/transformers/tmpiqlissjs
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2021-07-26T14:09:17.838174874Z	[INFO|tokenization_utils_base.py:1730] 2021-07-26 14:09:17,838 >> loading file https://huggingface.co/openai-gpt/resolve/main/added_tokens.json from cache at None
2021-07-26T14:09:17.838177733Z	[INFO|tokenization_utils_base.py:1730] 2021-07-26 14:09:17,838 >> loading file https://huggingface.co/openai-gpt/resolve/main/special_tokens_map.json from cache at None
2021-07-26T14:09:17.83818803Z	[INFO|tokenization_utils_base.py:1730] 2021-07-26 14:09:17,838 >> loading file https://huggingface.co/openai-gpt/resolve/main/tokenizer_config.json from cache at None
2021-07-26T14:09:18.023973304Z	[INFO|configuration_utils.py:545] 2021-07-26 14:09:18,023 >> loading configuration file https://huggingface.co/openai-gpt/resolve/main/config.json from cache at /root/.cache/huggingface/transformers/bebb46f5735701bc248ef9faa26f12577944fa7fc8e9be1a774b94d4cb8b79b6.ba6f10a5446f364b92311c09e55e49aa27024a4aeefc1ea50fd733b77bcd997d
2021-07-26T14:09:18.025605412Z	[INFO|configuration_utils.py:581] 2021-07-26 14:09:18,025 >> Model config OpenAIGPTConfig {
2021-07-26T14:09:18.025632076Z	  "afn": "gelu",
2021-07-26T14:09:18.025638821Z	  "architectures": [
2021-07-26T14:09:18.025644803Z	    "OpenAIGPTLMHeadModel"
2021-07-26T14:09:18.02565048Z	  ],
2021-07-26T14:09:18.025655907Z	  "attn_pdrop": 0.1,
2021-07-26T14:09:18.025659711Z	  "embd_pdrop": 0.1,
2021-07-26T14:09:18.025663648Z	  "initializer_range": 0.02,
2021-07-26T14:09:18.02566734Z	  "layer_norm_epsilon": 1e-05,
2021-07-26T14:09:18.025671169Z	  "model_type": "openai-gpt",
2021-07-26T14:09:18.025686901Z	  "n_ctx": 512,
2021-07-26T14:09:18.025690748Z	  "n_embd": 768,
2021-07-26T14:09:18.025694256Z	  "n_head": 12,
2021-07-26T14:09:18.025697812Z	  "n_layer": 12,
2021-07-26T14:09:18.025701325Z	  "n_positions": 512,
2021-07-26T14:09:18.025705268Z	  "n_special": 0,
2021-07-26T14:09:18.025709002Z	  "predict_special_tokens": true,
2021-07-26T14:09:18.025712833Z	  "resid_pdrop": 0.1,
2021-07-26T14:09:18.025716428Z	  "summary_activation": null,
2021-07-26T14:09:18.025721606Z	  "summary_first_dropout": 0.1,
2021-07-26T14:09:18.025727781Z	  "summary_proj_to_labels": true,
2021-07-26T14:09:18.025732321Z	  "summary_type": "cls_index",
2021-07-26T14:09:18.025735991Z	  "summary_use_proj": true,
2021-07-26T14:09:18.025739869Z	  "task_specific_params": {
2021-07-26T14:09:18.025743781Z	    "text-generation": {
2021-07-26T14:09:18.025747651Z	      "do_sample": true,
2021-07-26T14:09:18.025751454Z	      "max_length": 50
2021-07-26T14:09:18.025755031Z	    }
2021-07-26T14:09:18.025758401Z	  },
2021-07-26T14:09:18.025761928Z	  "transformers_version": "4.9.0",
2021-07-26T14:09:18.025765657Z	  "vocab_size": 40478
2021-07-26T14:09:18.025769586Z	}
2021-07-26T14:09:18.02577327Z	
2021-07-26T14:09:23.021111594Z	07/26/2021 14:09:23 - INFO - __main__ - Training new model from scratch - Total size=111.14M params
2021-07-26T14:09:23.070773083Z	07/26/2021 14:09:23 - INFO - datasets.arrow_dataset - Caching processed dataset at /root/.cache/huggingface/datasets/text/default-dfca9c6f12495150/0.0.0/e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5/cache-8e82676f86a14c2c.arrow
2021-07-26T14:09:23.094906386Z	07/26/2021 14:09:23 - INFO - datasets.arrow_writer - Done writing 2000 examples in 207498 bytes /root/.cache/huggingface/datasets/text/default-dfca9c6f12495150/0.0.0/e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5/tmpbehl1qz0.
2021-07-26T14:09:23.117860452Z	
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2021-07-26T14:09:23.133773375Z	07/26/2021 14:09:23 - INFO - datasets.arrow_dataset - Caching processed dataset at /root/.cache/huggingface/datasets/text/default-dfca9c6f12495150/0.0.0/e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5/cache-35b2963f79b3b422.arrow
2021-07-26T14:09:23.139336489Z	07/26/2021 14:09:23 - INFO - datasets.arrow_writer - Done writing 1000 examples in 113806 bytes /root/.cache/huggingface/datasets/text/default-dfca9c6f12495150/0.0.0/e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5/tmp9n9hycnj.
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2021-07-26T14:09:23.235184764Z	07/26/2021 14:09:23 - INFO - datasets.arrow_dataset - Caching processed dataset at /root/.cache/huggingface/datasets/text/default-dfca9c6f12495150/0.0.0/e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5/cache-f0614aafe173fe5c.arrow
2021-07-26T14:09:23.340753289Z	07/26/2021 14:09:23 - INFO - datasets.arrow_writer - Done writing 72 examples in 480120 bytes /root/.cache/huggingface/datasets/text/default-dfca9c6f12495150/0.0.0/e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5/tmpbjayy6wf.
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2021-07-26T14:09:23.449866442Z	07/26/2021 14:09:23 - INFO - datasets.arrow_dataset - Caching processed dataset at /root/.cache/huggingface/datasets/text/default-dfca9c6f12495150/0.0.0/e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5/cache-9636fc49daf5222e.arrow
2021-07-26T14:09:23.454281769Z	07/26/2021 14:09:23 - INFO - datasets.arrow_writer - Done writing 39 examples in 260064 bytes /root/.cache/huggingface/datasets/text/default-dfca9c6f12495150/0.0.0/e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5/tmpz8sa4yn6.
2021-07-26T14:09:23.482471097Z	07/26/2021 14:09:23 - INFO - datasets.arrow_writer - Done writing 200000 indices in 320000000 bytes .
2021-07-26T14:09:23.485361448Z	07/26/2021 14:09:23 - INFO - datasets.arrow_writer - Done writing 7000 indices in 392000 bytes .
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2021-07-26T14:09:25.751141123Z	[INFO|trainer.py:404] 2021-07-26 14:09:25,750 >> max_steps is given, it will override any value given in num_train_epochs
2021-07-26T14:09:25.757944575Z	[INFO|trainer.py:1164] 2021-07-26 14:09:25,757 >> ***** Running training *****
2021-07-26T14:09:25.757972847Z	[INFO|trainer.py:1165] 2021-07-26 14:09:25,757 >>   Num examples = 200000
2021-07-26T14:09:25.757978165Z	[INFO|trainer.py:1166] 2021-07-26 14:09:25,757 >>   Num Epochs = 516
2021-07-26T14:09:25.757982299Z	[INFO|trainer.py:1167] 2021-07-26 14:09:25,757 >>   Instantaneous batch size per device = 32
2021-07-26T14:09:25.757986728Z	[INFO|trainer.py:1168] 2021-07-26 14:09:25,757 >>   Total train batch size (w. parallel, distributed & accumulation) = 2048
2021-07-26T14:09:25.757990875Z	[INFO|trainer.py:1169] 2021-07-26 14:09:25,757 >>   Gradient Accumulation steps = 32
2021-07-26T14:09:25.757994803Z	[INFO|trainer.py:1170] 2021-07-26 14:09:25,757 >>   Total optimization steps = 50000
2021-07-26T14:09:27.841919702Z	
	 0%|          | 0/50000 [00:00<?, ?it/s]Traceback (most recent call last):
2021-07-26T14:09:27.841956297Z	  File "run_clm.py", line 572, in <module>
2021-07-26T14:09:27.841963933Z	    main()
2021-07-26T14:09:27.841969132Z	  File "run_clm.py", line 522, in main
2021-07-26T14:09:27.841991003Z	    train_result = trainer.train(resume_from_checkpoint=checkpoint)
2021-07-26T14:09:27.841996801Z	  File "/home/user/miniconda/lib/python3.8/site-packages/transformers/trainer.py", line 1280, in train
2021-07-26T14:09:27.842002482Z	    tr_loss += self.training_step(model, inputs)
2021-07-26T14:09:27.842007478Z	  File "/home/user/miniconda/lib/python3.8/site-packages/transformers/trainer.py", line 1773, in training_step
2021-07-26T14:09:27.842012807Z	    loss = self.compute_loss(model, inputs)
2021-07-26T14:09:27.842017737Z	  File "/home/user/miniconda/lib/python3.8/site-packages/transformers/trainer.py", line 1805, in compute_loss
2021-07-26T14:09:27.84202311Z	    outputs = model(**inputs)
2021-07-26T14:09:27.842028183Z	  File "/home/user/miniconda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
2021-07-26T14:09:27.842034154Z	    result = self.forward(*input, **kwargs)
2021-07-26T14:09:27.842039413Z	  File "/home/user/miniconda/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py", line 167, in forward
2021-07-26T14:09:27.842045122Z	    outputs = self.parallel_apply(replicas, inputs, kwargs)
2021-07-26T14:09:27.84205038Z	  File "/home/user/miniconda/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py", line 177, in parallel_apply
2021-07-26T14:09:27.842055852Z	    return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
2021-07-26T14:09:27.842061165Z	  File "/home/user/miniconda/lib/python3.8/site-packages/torch/nn/parallel/parallel_apply.py", line 86, in parallel_apply
2021-07-26T14:09:27.842066725Z	    output.reraise()
2021-07-26T14:09:27.842071565Z	  File "/home/user/miniconda/lib/python3.8/site-packages/torch/_utils.py", line 429, in reraise
2021-07-26T14:09:27.842077398Z	    raise self.exc_type(msg)
2021-07-26T14:09:27.842082546Z	StopIteration: Caught StopIteration in replica 0 on device 0.
2021-07-26T14:09:27.842087891Z	Original Traceback (most recent call last):
2021-07-26T14:09:27.842093056Z	  File "/home/user/miniconda/lib/python3.8/site-packages/torch/nn/parallel/parallel_apply.py", line 61, in _worker
2021-07-26T14:09:27.842098477Z	    output = module(*input, **kwargs)
2021-07-26T14:09:27.84210327Z	  File "/home/user/miniconda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
2021-07-26T14:09:27.842108627Z	    result = self.forward(*input, **kwargs)
2021-07-26T14:09:27.842113465Z	  File "/home/user/miniconda/lib/python3.8/site-packages/transformers/models/openai/modeling_openai.py", line 581, in forward
2021-07-26T14:09:27.842119416Z	    transformer_outputs = self.transformer(
2021-07-26T14:09:27.8421263Z	  File "/home/user/miniconda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
2021-07-26T14:09:27.842132244Z	    result = self.forward(*input, **kwargs)
2021-07-26T14:09:27.842137575Z	  File "/home/user/miniconda/lib/python3.8/site-packages/transformers/models/openai/modeling_openai.py", line 487, in forward
2021-07-26T14:09:27.842147909Z	    attention_mask = attention_mask.to(dtype=next(self.parameters()).dtype)  # fp16 compatibility
2021-07-26T14:09:27.842153517Z	StopIteration
2021-07-26T14:09:27.842158291Z	
2021-07-26T14:09:28.598937Z	
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```

## Expected behavior

The same as run_clm.py with a single GPU.
I am unable to reproduce the problem (also you seem to have made changes to the `run_clm` script since it does not accept those arguments: `--method range --source fi.json --from_scratch`) but in general, PyTorch discourages the use of DataParallel for multiGPU, so you should try to see if using DistributedDataParallel (by launching the script with `torch.distributed.launch`) works better?<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.