| python run_mlm_flax.py \ | |
| --output_dir="./" \ | |
| --model_type="roberta" \ | |
| --config_name="roberta-base" \ | |
| --tokenizer_name="NbAiLab/nb-roberta-base" \ | |
| --train_file="../train.json" \ | |
| --validation_file="../validation.json" \ | |
| --max_seq_length="128" \ | |
| --weight_decay="0.01" \ | |
| --per_device_train_batch_size="128" \ | |
| --per_device_eval_batch_size="128" \ | |
| --learning_rate="3e-4" \ | |
| --warmup_steps="1000" \ | |
| --overwrite_output_dir \ | |
| --num_train_epochs="3" \ | |
| --adam_beta1="0.9" \ | |
| --adam_beta2="0.98" \ | |
| --logging_steps="500" \ | |
| --save_steps="500" \ | |
| --eval_steps="500" \ | |
| --push_to_hub | |