System Info

accelerate version: main
python version: 3.11
torch version: 2.4
numpy version: 1.26.4

Information

• The official example scripts
• My own modified scripts

Tasks

• One of the scripts in the examples/ folder of Accelerate or an officially supported no_trainer script in the examples folder of the transformers repo (such as run_no_trainer_glue.py)
• My own task or dataset (give details below)

Reproduction

When I run the accelerate/examples/megatron_1m_gpt_pretraining. py file
accelerate launch --config_file megatron_gpt_pretraining.py
--config_name "gpt2-large"
--tokenizer_name "gpt2-large"
--dataset_name wikitext
--dataset_config_name wikitext-2-raw-v1
--block_size 1024
--learning_rate 5e-5
--per_device_train_batch_size 24
--per_device_eval_batch_size 24
--num_train_epochs 5
--with_tracking
--report_to "wandb"
--output_dir "awesome_model"

Expected behavior

Normal training, but I found that in megatron_1m_gpt_pretraining on line 255 of the py file, there is an undefined parameter 'logging.dir' in the init method of the Accelerator function