31 lines
968 B
Markdown
31 lines
968 B
Markdown
# Pt Train Regression Model
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Trains a regression model using a given dataset, optimizer, and number of epochs.
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early_stopping_rounds: Specifies the number of rounds to monitor the evaluation loss when early_stopping is enabled and validation data is specified. If the loss does not decrease compared to the current best loss within this period, training will be stopped.
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output_best_val_model: Whether to outputs the model with the best val loss or the model from the last epoch.
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## Input
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| Name | Data type |
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| model | Ptmodel |
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| train_loader | Ptdataloader |
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| optimizer | Ptoptimizer |
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| epochs | Int |
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| use_gpu | Boolean |
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| early_stopping | Boolean |
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| early_stopping_rounds | Int |
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| output_best_val_model | Boolean |
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| val_loader | Ptdataloader |
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## Output
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| Data type |
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| Ptmodel |
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| Tensor |
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| Tensor |
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<HR>
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Category: PyTorch wrapper - Training
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ComfyUI Pt Wrapper Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.
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