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ultralytics 8.0.113
Adamax, NAdam, RAdam optimizers (#3004)
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@ -72,7 +72,7 @@ task.
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| `name` | `None` | experiment name |
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| `name` | `None` | experiment name |
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| `exist_ok` | `False` | whether to overwrite existing experiment |
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| `exist_ok` | `False` | whether to overwrite existing experiment |
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| `pretrained` | `False` | whether to use a pretrained model |
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| `pretrained` | `False` | whether to use a pretrained model |
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| `optimizer` | `'auto'` | optimizer to use, choices=[SGD, Adam, Adamax, AdamW, NAdam, RAdam, RMSProp, auto] |
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| `optimizer` | `'SGD'` | optimizer to use, choices=[SGD, Adam, Adamax, AdamW, NAdam, RAdam, RMSProp, auto] |
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| `verbose` | `False` | whether to print verbose output |
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| `verbose` | `False` | whether to print verbose output |
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| `seed` | `0` | random seed for reproducibility |
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| `seed` | `0` | random seed for reproducibility |
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| `deterministic` | `True` | whether to enable deterministic mode |
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| `deterministic` | `True` | whether to enable deterministic mode |
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@ -94,7 +94,7 @@ The training settings for YOLO models encompass various hyperparameters and conf
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| `name` | `None` | experiment name |
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| `name` | `None` | experiment name |
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| `exist_ok` | `False` | whether to overwrite existing experiment |
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| `exist_ok` | `False` | whether to overwrite existing experiment |
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| `pretrained` | `False` | whether to use a pretrained model |
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| `pretrained` | `False` | whether to use a pretrained model |
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| `optimizer` | `'auto'` | optimizer to use, choices=[SGD, Adam, Adamax, AdamW, NAdam, RAdam, RMSProp, auto] |
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| `optimizer` | `'SGD'` | optimizer to use, choices=[SGD, Adam, Adamax, AdamW, NAdam, RAdam, RMSProp, auto] |
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| `verbose` | `False` | whether to print verbose output |
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| `verbose` | `False` | whether to print verbose output |
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| `seed` | `0` | random seed for reproducibility |
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| `seed` | `0` | random seed for reproducibility |
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| `deterministic` | `True` | whether to enable deterministic mode |
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| `deterministic` | `True` | whether to enable deterministic mode |
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@ -1,6 +1,6 @@
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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__version__ = '8.0.112'
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__version__ = '8.0.113'
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from ultralytics.hub import start
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from ultralytics.hub import start
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from ultralytics.vit.rtdetr import RTDETR
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from ultralytics.vit.rtdetr import RTDETR
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@ -20,7 +20,7 @@ project: # project name
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name: # experiment name, results saved to 'project/name' directory
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name: # experiment name, results saved to 'project/name' directory
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exist_ok: False # whether to overwrite existing experiment
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exist_ok: False # whether to overwrite existing experiment
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pretrained: False # whether to use a pretrained model
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pretrained: False # whether to use a pretrained model
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optimizer: auto # optimizer to use, choices=[SGD, Adam, Adamax, AdamW, NAdam, RAdam, RMSProp, auto]
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optimizer: SGD # optimizer to use, choices=[SGD, Adam, Adamax, AdamW, NAdam, RAdam, RMSProp, auto]
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verbose: True # whether to print verbose output
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verbose: True # whether to print verbose output
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seed: 0 # random seed for reproducibility
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seed: 0 # random seed for reproducibility
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deterministic: True # whether to enable deterministic mode
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deterministic: True # whether to enable deterministic mode
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