add config to model card (OpenAccess-AI-Collective#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

src/axolotl/train.py

@@ -12,6 +12,7 @@
 from accelerate.logging import get_logger
 from datasets import Dataset
 from optimum.bettertransformer import BetterTransformer
+from pkg_resources import get_distribution # type: ignore
 from transformers.deepspeed import is_deepspeed_zero3_enabled
 
 from axolotl.common.cli import TrainerCliArgs
@@ -115,6 +116,12 @@ def terminate_handler(_, __, model):
  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)"""
  transformers.modelcard.AUTOGENERATED_TRAINER_COMMENT += f"\n{badge_markdown}"
 
+ if getattr(cfg, "axolotl_config_path"):
+ raw_axolotl_cfg = Path(cfg.axolotl_config_path)
+ version = get_distribution("axolotl").version
+ if raw_axolotl_cfg.is_file():
+ 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"
+
  LOG.info("Starting trainer...")
  if cfg.group_by_length:
  LOG.info("hang tight... sorting dataset for group_by_length")