New train profile
argument for loggers (#2862)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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@ -83,6 +83,7 @@ task.
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| `resume` | `False` | resume training from last checkpoint |
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| `amp` | `True` | Automatic Mixed Precision (AMP) training, choices=[True, False] |
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| `fraction` | `1.0` | dataset fraction to train on (default is 1.0, all images in train set) |
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| `profile` | `False` | profile ONNX and TensorRT speeds during training for loggers |
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| `lr0` | `0.01` | initial learning rate (i.e. SGD=1E-2, Adam=1E-3) |
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| `lrf` | `0.01` | final learning rate (lr0 * lrf) |
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| `momentum` | `0.937` | SGD momentum/Adam beta1 |
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@ -105,6 +105,7 @@ The training settings for YOLO models encompass various hyperparameters and conf
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| `resume` | `False` | resume training from last checkpoint |
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| `amp` | `True` | Automatic Mixed Precision (AMP) training, choices=[True, False] |
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| `fraction` | `1.0` | dataset fraction to train on (default is 1.0, all images in train set) |
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| `profile` | `False` | profile ONNX and TensorRT speeds during training for loggers |
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| `lr0` | `0.01` | initial learning rate (i.e. SGD=1E-2, Adam=1E-3) |
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| `lrf` | `0.01` | final learning rate (lr0 * lrf) |
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| `momentum` | `0.937` | SGD momentum/Adam beta1 |
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