roberta-large-finnish / start_train.sh
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Saving weights and logs of step 10000
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# set train hyperparams
unset LD_PRELOAD
python3 run_mlm_flax.py \
--output_dir="./" \
--model_name_or_path="./" \
--config_name="./" \
--tokenizer_name="./" \
--dataset_filepath="/researchdisk1/data/training_data_full" \
--tokenized_dataset_filepath="/researchdisk1/data/training_data_full_tokenized_128" \
--max_seq_length="128" \
--pad_to_max_length \
--preprocessing_num_workers="96" \
--per_device_train_batch_size="32" \
--per_device_eval_batch_size="32" \
--adam_beta1="0.9" \
--adam_beta2="0.98" \
--adam_epsilon="1e-6" \
--learning_rate="2e-4" \
--warmup_steps="1500" \
--overwrite_output_dir \
--num_train_epochs="1" \
--save_strategy="steps" \
--save_steps="10000" \
--save_total_limit="5" \
--eval_steps="10000" \
--logging_steps="1000" \
--dtype="bfloat16" \
--push_to_hub \
--adafactor