Model Card for Jordan Belfort Q&A Model

This model is a fine-tuned version of a transformer-based language model trained using supervised fine-tuning (SFT) on a custom Q&A dataset derived from Jordan Belfort's book. The model is optimized to answer questions related to the book's content, including topics like sales, persuasion, mindset, and personal development strategies.

Model Details

Developed by: Jobix.ai
Finetuned from model: `openchat 3.5*
Language(s): English
Model type: Q&A / Instruction-following
License: apache-2.0 (or your chosen license)

Model Sources

Training Data: Custom Q&A dataset built from the full content of Jordan Belfort’s book.
Method: Supervised fine-tuning (TRL + SFT)

Uses

Direct Use

Ask specific questions about concepts, strategies, and advice in Jordan Belfort's book.
Get summaries of chapters, sales techniques, or mindset frameworks presented in the book.
Useful for salespeople, coaches, or individuals studying persuasion and personal development.

Out-of-Scope Use

Not trained for general-purpose Q&A outside the context of the book.
Not suitable for legal, financial, or medical advice.

Training Details

Training Procedure

Trainer: trl.SFTTrainer
Precision: bfloat16
Epochs: 7
Optimizer: AdamW
LR Scheduler: Cosine with warmup
Loss: CrossEntropyLoss on prompt-response pairs

Dataset

Approx. ~2,000 curated Q&A pairs covering all chapters and sections of the book.
Balanced across concepts like tonality, straight-line persuasion, mindset, sales process, and personal stories.

Evaluation

Manual evaluation on question coverage and accuracy.
Model shows strong performance in recalling specific ideas and quoting relevant sections.

Example Usage

from transformers import pipeline

qa = pipeline("text-generation", model="your-username/jordan-belfort-qa")

prompt = "What is the straight-line sales method according to Jordan Belfort?"
response = qa(prompt, max_new_tokens=200, do_sample=False)
print(response[0]["generated_text"])

AiJoker
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openchat_3.5-slp-jordan-belfort