pere's picture
First try larger lr and bs
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./run_mlm_flax.py \
--output_dir="./" \
--model_type="roberta" \
--config_name="./" \
--tokenizer_name="./" \
--train_file /mnt/disks/flaxdisk/corpus/norwegian_colossal_corpus_first_train.json \
--validation_file /mnt/disks/flaxdisk/corpus/norwegian_colossal_corpus_validation.json \
--max_seq_length="128" \
--weight_decay="0.01" \
--per_device_train_batch_size="128" \
--per_device_eval_batch_size="128" \
--learning_rate="3e-4" \
--warmup_steps="5000" \
--overwrite_output_dir \
--cache_dir /mnt/disks/flaxdisk/cache/ \
--num_train_epochs="15" \
--adam_beta1="0.9" \
--adam_beta2="0.98" \
--logging_steps="2500" \
--save_steps="5000" \
--eval_steps="5000" \
--preprocessing_num_workers 96 \
--adafactor \
--push_to_hub