32 lines
1.0 KiB
Markdown
32 lines
1.0 KiB
Markdown
# Pt Train Classification Model Lr
|
|
Trains a classification model using a given dataset, optimizer, and number of epochs with learning rate decay.
|
|
|
|
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.
|
|
output_best_val_model: Whether to outputs the model with the best val loss or the model from the last epoch.
|
|
|
|
## Input
|
|
| Name | Data type |
|
|
|---|---|
|
|
| model | Ptmodel |
|
|
| train_loader | Ptdataloader |
|
|
| optimizer | Ptoptimizer |
|
|
| scheduler | Ptlrscheduler |
|
|
| epochs | Int |
|
|
| use_gpu | Boolean |
|
|
| early_stopping | Boolean |
|
|
| early_stopping_rounds | Int |
|
|
| output_best_val_model | Boolean |
|
|
| val_loader | Ptdataloader |
|
|
|
|
## Output
|
|
| Data type |
|
|
|---|
|
|
| Ptmodel |
|
|
| Tensor |
|
|
| Tensor |
|
|
|
|
<HR>
|
|
Category: PyTorch wrapper - Training
|
|
|
|
ComfyUI Pt Wrapper Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.
|