papuGaPT2 / pretrain_model.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="64" \
--per_device_eval_batch_size="64" \
--learning_rate="2e-4" --warmup_steps="5000" \
--adam_beta1="0.9" --adam_beta2="0.98" --weight_decay="0.01" \
--overwrite_output_dir \
--num_train_epochs="3" \
--logging_steps="3500" \
--preprocessing_num_workers="64" \
--save_steps="7000" \
--eval_steps="7000" \
--model_name_or_path="." \
--push_to_hub \