| python run_mlm_flax_stream.py \ | |
| --output_dir="./" \ | |
| --model_name_or_path="xlm-roberta-base" \ | |
| --hub_model_id="versae/roberta-base-scand-xlm" \ | |
| --model_type="xlm-roberta" \ | |
| --config_name="./" \ | |
| --tokenizer_name="./" \ | |
| --dataset_name="NbAiLab/scandinavian" \ | |
| --max_seq_length="512" \ | |
| --weight_decay="0.01" \ | |
| --per_device_train_batch_size="20" \ | |
| --per_device_eval_batch_size="20" \ | |
| --learning_rate="3e-4" \ | |
| --warmup_steps="1000" \ | |
| --overwrite_output_dir \ | |
| --num_train_steps="500000" \ | |
| --adam_beta1="0.9" \ | |
| --adam_beta2="0.98" \ | |
| --logging_steps="100" \ | |
| --save_steps="1000" \ | |
| --eval_steps="1000" \ | |
| --do_train \ | |
| --do_eval \ | |
| --push_to_hub | |