ultralytics 8.0.114 automatic optimizer selection (#3037)

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This commit is contained in:
Glenn Jocher
2023-06-06 01:09:27 +02:00
committed by GitHub
parent 01273c5ca1
commit 8940a27bdb
11 changed files with 72 additions and 14 deletions

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@ -94,7 +94,7 @@ The training settings for YOLO models encompass various hyperparameters and conf
| `name` | `None` | experiment name |
| `exist_ok` | `False` | whether to overwrite existing experiment |
| `pretrained` | `False` | whether to use a pretrained model |
| `optimizer` | `'SGD'` | optimizer to use, choices=[SGD, Adam, Adamax, AdamW, NAdam, RAdam, RMSProp, auto] |
| `optimizer` | `'auto'` | optimizer to use, choices=[SGD, Adam, Adamax, AdamW, NAdam, RAdam, RMSProp, auto] |
| `verbose` | `False` | whether to print verbose output |
| `seed` | `0` | random seed for reproducibility |
| `deterministic` | `True` | whether to enable deterministic mode |