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python run_clm_mp.py \
--model_name_or_path "gpt-neo-1.3B" \
--tokenizer_name "./" \
--train_file /mnt/disks/flaxdisk/corpus/social_train.json \
--validation_file /mnt/disks/flaxdisk/corpus/social_validation.json \
--do_train \
--do_eval \
--block_size 512 \
--num_train_epochs 5 \
--learning_rate 4e-6 \
--per_device_train_batch_size 4 \
--per_device_eval_batch_size 4 \
--overwrite_output_dir \
--output_dir "./" \
--cache_dir /mnt/disks/flaxdisk/cache/ \
--preprocessing_num_workers 96 \
--dtype bfloat16 \
--logging_steps 50000 \
--eval_steps 50000 \
--warmup_steps 3000 \
--push_to_hub
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