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papuGaPT2-large/pretrain.sh

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./run_clm_flax.py \
--output_dir="." \
--model_type="gpt2" \
--config_name="." \
--tokenizer_name="." \
--dataset_name="oscar" \
--dataset_config_name="unshuffled_deduplicated_pl" \
--do_train --do_eval \
--block_size="512" \
--per_device_train_batch_size="4" \
--per_device_eval_batch_size="4" \
--learning_rate="3e-4" --warmup_steps="16000" \
--adam_beta1="0.9" --adam_beta2="0.98" --weight_decay="0.01" \
--overwrite_output_dir \
--num_train_epochs="2" \
--logging_steps="15000" \
--save_steps="30000" \
--eval_steps="30000" \
--adafactor \
--push_to_hub