fd3b80716a
* remove fastchat and sharegpt * remove imports * remove more fastchat imports * chore: remove unused functions * feat: remove sharegpt and deprecate from docs * chore: remove unused sharegpt checks * fix: remove sharegpt type from tests * feat: add sharegpt deprecation error * feat: update readme --------- Co-authored-by: NanoCode012 <nano@axolotl.ai>
59 lines
1.5 KiB
Python
59 lines
1.5 KiB
Python
"""
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CLI to run training on a model
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"""
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import logging
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from pathlib import Path
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from typing import Union
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import fire
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from dotenv import load_dotenv
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from transformers.hf_argparser import HfArgumentParser
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from axolotl.cli import (
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check_accelerate_default_config,
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check_user_token,
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load_cfg,
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load_datasets,
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load_rl_datasets,
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print_axolotl_text_art,
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)
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from axolotl.common.cli import TrainerCliArgs
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from axolotl.integrations.base import PluginManager
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from axolotl.train import train
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LOG = logging.getLogger("axolotl.cli.train")
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def do_cli(config: Union[Path, str] = Path("examples/"), **kwargs):
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# pylint: disable=duplicate-code
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parsed_cfg = load_cfg(config, **kwargs)
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parser = HfArgumentParser((TrainerCliArgs))
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parsed_cli_args, _ = parser.parse_args_into_dataclasses(
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return_remaining_strings=True
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)
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return do_train(parsed_cfg, parsed_cli_args)
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def do_train(cfg, cli_args) -> None:
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print_axolotl_text_art()
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check_accelerate_default_config()
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check_user_token()
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if cfg.rl: # and cfg.rl != "orpo":
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dataset_meta = load_rl_datasets(cfg=cfg, cli_args=cli_args)
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else:
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dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
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model, tokenizer = train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
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plugin_manager = PluginManager.get_instance()
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del model
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del tokenizer
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plugin_manager.post_train_unload(cfg)
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if __name__ == "__main__":
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load_dotenv()
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fire.Fire(do_cli)
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