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Preparing code for final runs
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# From https://arxiv.org/pdf/1907.11692.pdf for base model
python -c "import jax; print('TPUs', jax.device_count())"
python ./run_mlm_flax_stream.py \
--output_dir="./outputs" \
--model_type="roberta" \
--config_name="./configs/base" \
--tokenizer_name="./configs/base" \
--dataset_name="./mc4" \
--dataset_config_name="es" \
--train_file="path/to/mc4-es-train-50M-XXX.jsonl" \
--max_seq_length="128" \
--pad_to_max_length \
--per_device_train_batch_size="256" \
--per_device_eval_batch_size="256" \
--adam_beta1="0.9" \
--adam_beta2="0.98" \
--adam_epsilon="1e-6" \
--learning_rate="6e-4" \
--weight_decay="0.01" \
--save_steps="10000" \
--save_total_limit="5" \
--warmup_steps="24000" \
--overwrite_output_dir \
--num_train_steps="250000" \
--eval_steps="10000" \
--dtype="bfloat16" \
--logging_steps="500" 2>&1 | tee run_stream.log