# 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 \ | |
--model_name_or_path="./outputs/checkpoints/checkpoint-24000" \ | |
--output_dir="./outputs" \ | |
--model_type="roberta" \ | |
--config_name="./configs/base" \ | |
--tokenizer_name="./configs/base" \ | |
--dataset_name="bertin-project/mc4-es-sampled" \ | |
--dataset_config_name="gaussian" \ | |
--max_seq_length="512" \ | |
--pad_to_max_length \ | |
--per_device_train_batch_size="48" \ | |
--per_device_eval_batch_size="48" \ | |
--adam_beta1="0.9" \ | |
--adam_beta2="0.98" \ | |
--adam_epsilon="1e-6" \ | |
--learning_rate="6e-4" \ | |
--weight_decay="0.01" \ | |
--save_steps="1000" \ | |
--save_total_limit="5" \ | |
--warmup_steps="500" \ | |
--overwrite_output_dir \ | |
--num_train_steps="50000" \ | |
--eval_steps="1000" \ | |
--dtype="bfloat16" \ | |
--logging_steps="500" 2>&1 | tee run_stream_checkpoint.log | |