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#!/usr/bin/env bash
python3 run_mlm_flax.py \
--output_dir="./" \
--model_type="roberta" \
--config_name="./" \
--tokenizer_name="./" \
--dataset_name="oscar" \
--dataset_config_name="unshuffled_deduplicated_th" \
--max_seq_length="128" \
--weight_decay="0.01" \
--preprocessing_num_workers="64" \
--per_device_train_batch_size="128" \
--per_device_eval_batch_size="128" \
--learning_rate="3e-5" \
--warmup_steps="5000" \
--overwrite_output_dir \
--seed="19" \
--num_train_epochs="8" \
--adam_beta1="0.9" \
--adam_beta2="0.98" \
--logging_steps="500" \
--save_steps="5000" \
--eval_steps="20000" \
--push_to_hub
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