static LoraTrainingConfig.Builder |
LoraTrainingConfig.builder() |
Create a new builder.
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LoraTrainingConfig.Builder |
LoraTrainingConfig.Builder.copy(LoraTrainingConfig model) |
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LoraTrainingConfig.Builder |
LoraTrainingConfig.Builder.earlyStoppingPatience(Integer earlyStoppingPatience) |
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LoraTrainingConfig.Builder |
LoraTrainingConfig.Builder.earlyStoppingThreshold(Double earlyStoppingThreshold) |
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LoraTrainingConfig.Builder |
LoraTrainingConfig.Builder.learningRate(Double learningRate) |
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LoraTrainingConfig.Builder |
LoraTrainingConfig.Builder.logModelMetricsIntervalInSteps(Integer logModelMetricsIntervalInSteps) |
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LoraTrainingConfig.Builder |
LoraTrainingConfig.Builder.loraAlpha(Integer loraAlpha) |
This parameter represents the scaling factor for the weight matrices in LoRA.
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LoraTrainingConfig.Builder |
LoraTrainingConfig.Builder.loraDropout(Double loraDropout) |
This parameter indicates the dropout probability for LoRA layers.
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LoraTrainingConfig.Builder |
LoraTrainingConfig.Builder.loraR(Integer loraR) |
This parameter represents the LoRA rank of the update matrices.
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LoraTrainingConfig.Builder |
LoraTrainingConfig.toBuilder() |
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LoraTrainingConfig.Builder |
LoraTrainingConfig.Builder.totalTrainingEpochs(Integer totalTrainingEpochs) |
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LoraTrainingConfig.Builder |
LoraTrainingConfig.Builder.trainingBatchSize(Integer trainingBatchSize) |
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