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python run_mlm_flax_stream.py \
--output_dir="./" \
--model_name_or_path="xlm-roberta-base" \
--hub_model_id="versae/roberta-base-scand-xlm" \
--model_type="xlm-roberta" \
--config_name="./" \
--tokenizer_name="./" \
--dataset_name="NbAiLab/scandinavian" \
--max_seq_length="512" \
--weight_decay="0.01" \
--per_device_train_batch_size="20" \
--per_device_eval_batch_size="20" \
--learning_rate="3e-4" \
--warmup_steps="1000" \
--overwrite_output_dir \
--num_train_steps="500000" \
--adam_beta1="0.9" \
--adam_beta2="0.98" \
--logging_steps="100" \
--save_steps="1000" \
--eval_steps="1000" \
--do_train \
--do_eval \
--push_to_hub