| # 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 | |