File size: 935 Bytes
861ceca 8dcd40a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 |
"""
CLI to run training on a model
"""
from pathlib import Path
import fire
import transformers
from axolotl.cli import (
check_accelerate_default_config,
load_cfg,
load_datasets,
print_axolotl_text_art,
)
from axolotl.common.cli import TrainerCliArgs
from axolotl.train import train
def do_cli(config: Path = Path("examples/"), **kwargs):
# pylint: disable=duplicate-code
print_axolotl_text_art()
parsed_cfg = load_cfg(config, **kwargs)
check_accelerate_default_config()
parser = transformers.HfArgumentParser((TrainerCliArgs))
parsed_cli_args, _ = parser.parse_args_into_dataclasses(
return_remaining_strings=True
)
dataset_meta = load_datasets(cfg=parsed_cfg, cli_args=parsed_cli_args)
if parsed_cli_args.prepare_ds_only:
return
train(cfg=parsed_cfg, cli_args=parsed_cli_args, dataset_meta=dataset_meta)
if __name__ == "__main__":
fire.Fire(do_cli)
|