add config to model card (#1005)
* add config to model card * rm space * apply black formatting * apply black formatting * fix formatting * check for cfg attribute * add version * add version * put the config in a collapsible element * put the config in a collapsible element
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@@ -12,6 +12,7 @@ import transformers.modelcard
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from accelerate.logging import get_logger
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from accelerate.logging import get_logger
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from datasets import Dataset
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from datasets import Dataset
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from optimum.bettertransformer import BetterTransformer
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from optimum.bettertransformer import BetterTransformer
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from pkg_resources import get_distribution # type: ignore
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from transformers.deepspeed import is_deepspeed_zero3_enabled
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from transformers.deepspeed import is_deepspeed_zero3_enabled
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from axolotl.common.cli import TrainerCliArgs
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from axolotl.common.cli import TrainerCliArgs
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@@ -115,6 +116,12 @@ def train(
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badge_markdown = """[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)"""
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badge_markdown = """[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)"""
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transformers.modelcard.AUTOGENERATED_TRAINER_COMMENT += f"\n{badge_markdown}"
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transformers.modelcard.AUTOGENERATED_TRAINER_COMMENT += f"\n{badge_markdown}"
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if getattr(cfg, "axolotl_config_path"):
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raw_axolotl_cfg = Path(cfg.axolotl_config_path)
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version = get_distribution("axolotl").version
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if raw_axolotl_cfg.is_file():
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transformers.modelcard.AUTOGENERATED_TRAINER_COMMENT += f"\n<details><summary>See axolotl config</summary>\n\naxolotl version: `{version}`\n```yaml\n{raw_axolotl_cfg.read_text(encoding='utf-8')}\n```\n\n</details><br>\n"
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LOG.info("Starting trainer...")
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LOG.info("Starting trainer...")
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if cfg.group_by_length:
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if cfg.group_by_length:
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LOG.info("hang tight... sorting dataset for group_by_length")
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LOG.info("hang tight... sorting dataset for group_by_length")
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