| Continued pretrained from the nb-roberta-base. | |
| The domain specific pretraining is done on the 102GB (Scandinavian corpus)[https://huggingface.co/datasets/NbAiLab/scandinavian]. | |
| ## Train for 180k steps for 128 sequences: | |
| ```bash | |
| ./run_mlm_flax_stream.py \ | |
| --output_dir="./" \ | |
| --model_type="roberta" \ | |
| --config_name="./" \ | |
| --tokenizer_name="./" \ | |
| --model_name_or_path="./" \ | |
| --dataset_name="NbAiLab/scandinavian" \ | |
| --max_seq_length="128" \ | |
| --weight_decay="0.01" \ | |
| --per_device_train_batch_size="128" \ | |
| --per_device_eval_batch_size="128" \ | |
| --learning_rate="6e-5" \ | |
| --warmup_steps="5000" \ | |
| --overwrite_output_dir \ | |
| --cache_dir /mnt/disks/flaxdisk/cache/ \ | |
| --num_train_steps="180000" \ | |
| --adam_beta1="0.9" \ | |
| --adam_beta2="0.98" \ | |
| --logging_steps="10000" \ | |
| --save_steps="10000" \ | |
| --eval_steps="10000" \ | |
| --preprocessing_num_workers 96 \ | |
| --auth_token True \ | |
| --adafactor \ | |
| --push_to_hub | |
| ``` | |
| ## Train for 20k steps for 512 sequences: | |
| ```bash | |
| ./run_mlm_flax_stream.py \ | |
| --output_dir="./" \ | |
| --model_type="roberta" \ | |
| --config_name="./" \ | |
| --tokenizer_name="./" \ | |
| --model_name_or_path="./" \ | |
| --dataset_name="NbAiLab/scandinavian" \ | |
| --max_seq_length="512" \ | |
| --weight_decay="0.01" \ | |
| --per_device_train_batch_size="48" \ | |
| --per_device_eval_batch_size="48" \ | |
| --learning_rate="3e-5" \ | |
| --warmup_steps="5000" \ | |
| --overwrite_output_dir \ | |
| --cache_dir /mnt/disks/flaxdisk/cache/ \ | |
| --num_train_steps="20000" \ | |
| --adam_beta1="0.9" \ | |
| --adam_beta2="0.98" \ | |
| --logging_steps="20000" \ | |
| --save_steps="10000" \ | |
| --eval_steps="10000" \ | |
| --preprocessing_num_workers 96 \ | |
| --auth_token True \ | |
| --adafactor \ | |
| --push_to_hub | |
| ``` | |
| Approximate additional training time: 1 week. | |