refactor(params): momentarily disable early_stopping_patience until issue #73 is fixed

[Thytu]

No description provided.

[winglian]

load_best_model_at_end is derived from several factors, see
https://github.com/OpenAccess-AI-Collective/axolotl/blob/main/src/axolotl/utils/trainer.py#L115-L120

I think a good solution is allow explicit disabling of load_best_model_at_end via configuration to override all those, and if it's not specifically disabled, then add some warning in validation https://github.com/OpenAccess-AI-Collective/axolotl/blob/main/src/axolotl/utils/validation.py
if cfg.load_best_model_at_end is not False and cfg. early_stopping_patience:

[NanoCode012]

Closed for now. Please refer to discussion at #28 where we will try to think of better method.