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./run_clm_flax.py \
--output_dir="./" \
--model_type="gpt2" \
--model_name_or_path="./" \
--config_name="./" \
--tokenizer_name="./" \
--dataset_name="oscar" \
--dataset_config_name="unshuffled_deduplicated_es" \
--do_train \
--do_eval \
--block_size="512" \
--per_device_train_batch_size="64" \
--per_device_eval_batch_size="64" \
--adafactor \
--learning_rate="3e-3" --warmup_steps="1000" \
--adam_beta1="0.9" --adam_beta2="0.98" --weight_decay="0.001" \
--overwrite_output_dir \
--num_train_epochs="20" \
--logging_steps="100" \
--save_steps="2500" \
--eval_steps="1000000" \
--preprocessing_num_workers="64"
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