54 lines
3.3 KiB
TypeScript
54 lines
3.3 KiB
TypeScript
import * as z from "zod";
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import { Result as SafeParseResult } from "../../types/fp.js";
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import { SDKValidationError } from "../errors/sdkvalidationerror.js";
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/**
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* The fine-tuning hyperparameter settings used in a classifier fine-tune job.
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*/
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export type ClassifierTrainingParametersIn = {
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/**
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* The number of training steps to perform. A training step refers to a single update of the model weights during the fine-tuning process. This update is typically calculated using a batch of samples from the training dataset.
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*/
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trainingSteps?: number | null | undefined;
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/**
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* A parameter describing how much to adjust the pre-trained model's weights in response to the estimated error each time the weights are updated during the fine-tuning process.
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*/
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learningRate?: number | undefined;
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/**
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* (Advanced Usage) Weight decay adds a term to the loss function that is proportional to the sum of the squared weights. This term reduces the magnitude of the weights and prevents them from growing too large.
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*/
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weightDecay?: number | null | undefined;
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/**
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* (Advanced Usage) A parameter that specifies the percentage of the total training steps at which the learning rate warm-up phase ends. During this phase, the learning rate gradually increases from a small value to the initial learning rate, helping to stabilize the training process and improve convergence. Similar to `pct_start` in [mistral-finetune](https://github.com/mistralai/mistral-finetune)
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*/
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warmupFraction?: number | null | undefined;
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epochs?: number | null | undefined;
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seqLen?: number | null | undefined;
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};
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/** @internal */
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export declare const ClassifierTrainingParametersIn$inboundSchema: z.ZodType<ClassifierTrainingParametersIn, z.ZodTypeDef, unknown>;
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/** @internal */
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export type ClassifierTrainingParametersIn$Outbound = {
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training_steps?: number | null | undefined;
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learning_rate: number;
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weight_decay?: number | null | undefined;
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warmup_fraction?: number | null | undefined;
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epochs?: number | null | undefined;
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seq_len?: number | null | undefined;
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};
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/** @internal */
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export declare const ClassifierTrainingParametersIn$outboundSchema: z.ZodType<ClassifierTrainingParametersIn$Outbound, z.ZodTypeDef, ClassifierTrainingParametersIn>;
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/**
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* @internal
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* @deprecated This namespace will be removed in future versions. Use schemas and types that are exported directly from this module.
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*/
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export declare namespace ClassifierTrainingParametersIn$ {
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/** @deprecated use `ClassifierTrainingParametersIn$inboundSchema` instead. */
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const inboundSchema: z.ZodType<ClassifierTrainingParametersIn, z.ZodTypeDef, unknown>;
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/** @deprecated use `ClassifierTrainingParametersIn$outboundSchema` instead. */
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const outboundSchema: z.ZodType<ClassifierTrainingParametersIn$Outbound, z.ZodTypeDef, ClassifierTrainingParametersIn>;
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/** @deprecated use `ClassifierTrainingParametersIn$Outbound` instead. */
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type Outbound = ClassifierTrainingParametersIn$Outbound;
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}
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export declare function classifierTrainingParametersInToJSON(classifierTrainingParametersIn: ClassifierTrainingParametersIn): string;
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export declare function classifierTrainingParametersInFromJSON(jsonString: string): SafeParseResult<ClassifierTrainingParametersIn, SDKValidationError>;
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//# sourceMappingURL=classifiertrainingparametersin.d.ts.map
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