Uses of Record Class
io.github.kirstenali.deepj.training.TrainingResult

Packages that use TrainingResult

Package	Description
io.github.kirstenali.deepj.examples
io.github.kirstenali.deepj.training

Uses of TrainingResult in io.github.kirstenali.deepj.examples

Methods in io.github.kirstenali.deepj.examples that return TrainingResult

Modifier and Type	Method	Description
static TrainingResult	TrainDeepSeekTinyStories.run(DeepSeekTinyStoriesConfig runConfig)

Uses of TrainingResult in io.github.kirstenali.deepj.training

Methods in io.github.kirstenali.deepj.training that return TrainingResult

Modifier and Type	Method	Description
TrainingResult	Trainer.train(int maxSteps, int batchSize, int logEvery, float emaBeta, Float targetEmaLoss)	Train until maxSteps or until EMA loss goes below targetEmaLoss (if provided).
TrainingResult	Trainer.train(int maxSteps, int batchSize, int logEvery, float emaBeta, Float targetEmaLoss, int releaseEverySteps)
TrainingResult	Trainer.train(int maxSteps, int batchSize, int logEvery, float emaBeta, Float targetEmaLoss, int releaseEverySteps, Trainer.StepHook stepHook)	Train until maxSteps or until EMA loss goes below targetEmaLoss (if provided).
TrainingResult	Trainer.train(int maxSteps, int batchSize, int logEvery, float emaBeta, Float targetEmaLoss, Trainer.StepHook stepHook)	Train until maxSteps or until EMA loss goes below targetEmaLoss (if provided).