Lecture

Start MBTI Fine-Tuning

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Practice

  1. Model Name: Enter the model name in STEP3.

    • Model Naming Tip: It's helpful to manage versions like ModelName-v1, ModelName-v2.

  2. Start Fine-Tuning: Click the Run Fine-Tuning button to begin fine-tuning.

    • Due to technical issues, the fine-tuning feature is currently unavailable internally. Therefore, tests will be conducted using pre-built models.

Lecture

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Design

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Notes

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Create a fine-tuned model

STEP 1

JSONL Data

Select JSONL Data

STEP 2

Configure hyperparameters

16

32

64

Determines the amount of data the model learns at one time.

0.1

0.01

0.001

Controls the speed at which the model learns.

10

50

100

Determines how many times the entire dataset is trained.

STEP 3

Start Fine-Tuning

This screen is provided as an example for fine-tuning practice. No actual fine-tuning work is being performed. To proceed with actual fine-tuning, please use OpenAI Fine-tuning.
Please select a model.