ComfyUI Node

NNT Fine Tune Model

A ComfyUI node in NNT Neural Network Toolkit/Models with 18 inputs and 2 outputs.

By inventorado·Created 2 years ago·Updated 2 years ago· 69
NNT Fine Tune Model
  • MODEL
  • train_data
  • train_labels
  • val_data
  • val_labels
  • fine_tuned_model
  • training_log
learning_rate0.0001
epochs10
batch_size32
loss_functionCrossEntropyLoss
optimizerAdam
optimizer_params{}
use_schedulerFalse
schedulerStepLR
scheduler_params{}
early_stoppingFalse
early_stopping_patience5
save_best_modelTrue
best_model_pathbest_model.pth
CategoryNNT Neural Network Toolkit/Models

Inputs (18)

NameTypeDefaultDescription
MODELMODEL
train_dataTENSOR
train_labelsTENSOR
val_dataTENSOR
val_labelsTENSOR
learning_rateFLOAT0.00011e-8–1
epochsINT101–1000
batch_sizeINT321–1024
loss_functionCOMBOCrossEntropyLoss21 options: L1Loss, MSELoss, CrossEntropyLoss, CTCLoss, NLLLoss, PoissonNLLLoss, +15
optimizerCOMBOAdam12 options: Adadelta, Adagrad, Adam, AdamW, SparseAdam, Adamax, +6
optimizer_paramsSTRING{}
use_schedulerCOMBOFalse2 options: True, False
schedulerCOMBOStepLR4 options: StepLR, ReduceLROnPlateau, ExponentialLR, CosineAnnealingLR
scheduler_paramsSTRING{}
early_stoppingCOMBOFalse2 options: True, False
early_stopping_patienceINT51–100
save_best_modelCOMBOTrue2 options: True, False
best_model_pathSTRINGbest_model.pth

Outputs (2)

NameTypeDescription
fine_tuned_modelMODEL
training_logSTRING