| python3 run_mlm_flax.py \ | |
| --output_dir="./" \ | |
| --model_type="roberta" \ | |
| --config_name="./" \ | |
| --tokenizer_name="./" \ | |
| --dataset_name="oscar" \ | |
| --dataset_config_name="unshuffled_deduplicated_th" \ | |
| --max_seq_length="128" \ | |
| --weight_decay="0.01" \ | |
| --preprocessing_num_workers="64" \ | |
| --per_device_train_batch_size="256" \ | |
| --per_device_eval_batch_size="256" \ | |
| --learning_rate="3e-5" \ | |
| --warmup_steps="5000" \ | |
| --overwrite_output_dir \ | |
| --seed="19" \ | |
| --num_train_epochs="8" \ | |
| --adam_beta1="0.9" \ | |
| --adam_beta2="0.98" \ | |
| --logging_steps="62" \ | |
| --save_steps="625" \ | |
| --eval_steps="2500" \ | |
| --dtype="bfloat16" \ | |
| --push_to_hub | |