From e100484422dfbae5a3e4d889fab08fcfdece4899 Mon Sep 17 00:00:00 2001 From: Mohammed Yasin <32206511+Y-T-G@users.noreply.github.com> Date: Thu, 14 Nov 2024 06:24:07 +0800 Subject: [PATCH] Remove `verbose` arg from train docs. (#17257) Co-authored-by: Francesco Mattioli Co-authored-by: Ultralytics Assistant <135830346+UltralyticsAssistant@users.noreply.github.com> --- docs/en/macros/train-args.md | 1 - 1 file changed, 1 deletion(-) diff --git a/docs/en/macros/train-args.md b/docs/en/macros/train-args.md index ede32f910b..0bc48f8117 100644 --- a/docs/en/macros/train-args.md +++ b/docs/en/macros/train-args.md @@ -17,7 +17,6 @@ | `exist_ok` | `False` | If True, allows overwriting of an existing project/name directory. Useful for iterative experimentation without needing to manually clear previous outputs. | | `pretrained` | `True` | Determines whether to start training from a pretrained model. Can be a boolean value or a string path to a specific model from which to load weights. Enhances training efficiency and model performance. | | `optimizer` | `'auto'` | Choice of optimizer for training. Options include `SGD`, `Adam`, `AdamW`, `NAdam`, `RAdam`, `RMSProp` etc., or `auto` for automatic selection based on model configuration. Affects convergence speed and stability. | -| `verbose` | `False` | Enables verbose output during training, providing detailed logs and progress updates. Useful for debugging and closely monitoring the training process. | | `seed` | `0` | Sets the random seed for training, ensuring reproducibility of results across runs with the same configurations. | | `deterministic` | `True` | Forces deterministic algorithm use, ensuring reproducibility but may affect performance and speed due to the restriction on non-deterministic algorithms. | | `single_cls` | `False` | Treats all classes in multi-class datasets as a single class during training. Useful for binary classification tasks or when focusing on object presence rather than classification. |