combine like functions
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@@ -345,19 +345,16 @@ def save_initial_configs(
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model.config.save_pretrained(str(output_dir))
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def setup_badge_for_model_card():
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"""Set up the Axolotl badge for the model card."""
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badge_markdown = """[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)"""
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transformers.modelcard.AUTOGENERATED_TRAINER_COMMENT += f"\n{badge_markdown}"
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def add_config_to_model_card(cfg: DictDefault):
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def setup_model_card(cfg: DictDefault):
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"""
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Add the Axolotl configuration to the model card if available.
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Set up the Axolotl badge and add the Axolotl config to the model card if available.
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Args:
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cfg: The configuration dictionary with path to axolotl config file
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"""
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badge_markdown = """[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)"""
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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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@@ -460,8 +457,7 @@ def train(
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setup_signal_handler(cfg, model, safe_serialization)
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# Set up badges and config info for model card
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setup_badge_for_model_card()
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add_config_to_model_card(cfg)
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setup_model_card(cfg)
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# Execute the training
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execute_training(cfg, trainer, resume_from_checkpoint)
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