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Model: tokhey/question-generator-model-qwen2.5-1.5b
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---
language:
- en
license: apache-2.0
base_model: Qwen/Qwen2.5-1.5B-Instruct
pipeline_tag: text-generation
library_name: transformers
tags:
- education
- question-generation
- qwen2.5
- lora
- egypt
- english
- mcq
- json
---
# Egyptian Ministry English Exam Question Generator (Qwen2.5-1.5B)
This model is a fine-tuned version of **Qwen2.5-1.5B-Instruct** designed to generate English multiple-choice questions that closely resemble the official examinations of the **Egyptian Ministry of Education (General Secondary Stage)**.
Unlike generic question generation models, this model was trained specifically to reproduce the wording, structure, difficulty, distractor quality, and examination style commonly found in Egyptian Ministry exams.
---
# Overview
The model receives curriculum information (Unit, Topic, Grammar Focus, Target Skills, Life Skills, Core Values) together with a user request and generates Ministry-style English MCQs in structured JSON format.
The objective is to assess **understanding rather than memorization**, while preserving the writing style used in official examinations.
---
# Base Model
- **Model:** Qwen/Qwen2.5-1.5B-Instruct
- **Fine-tuning:** LoRA
- **Framework:** LLaMA-Factory
- **Training Type:** Supervised Fine-Tuning (SFT)
- **Deployment Model:** Merged LoRA + Base Model
---
# Dataset
The model was trained using two complementary datasets.
## 1. Official Egyptian Ministry Dataset
A manually collected dataset extracted from previous official English examinations.
Each sample was converted into an instruction-following format including:
- curriculum metadata
- grammar focus
- target skills
- ministry-style output
---
## 2. Synthetic Dataset
To improve generalization, an additional synthetic dataset was generated using **GLM-5.2**.
The synthetic data follows the same curriculum structure and examination philosophy while introducing diverse contexts and wording.
This significantly increased dataset diversity without changing the Ministry examination style.
---
# Capabilities
The model can generate:
- Grammar Questions
- Vocabulary Questions
- Reading Questions
- Writing Questions
- Ministry-style Distractors
- JSON Responses
- Multiple Questions in a Single Request
Each generated question contains:
- statement
- correct_answer
- plausible_distractors
- explanation
---
# Recommended Prompt Structure
Although the model understands simple prompts, it performs significantly better when curriculum information is supplied.
Recommended prompt:
- User request
- Unit information
- Topic
- Grammar Focus
- Target Skills
- Life Skills
- Core Values
- JSON Output Schema
---
# Example Prompt
Generate 5 Ministry-style grammar MCQs.
Unit: 11
Topic:
Literature
Grammar Focus:
Comparative and Superlative Adjectives
Return JSON only.
---
# Loading the Model
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
model_id = "tokhey/question-generator-model-qwen2.5-1.5b"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
device_map="auto",
torch_dtype="auto"
)
```
---
# Example Inference
```python
messages = [
{
"role":"user",
"content":"""
Generate 3 Ministry-style grammar MCQs.
Unit: 8
Topic:
A Journey Through Time
Grammar Focus:
Active and Passive Voice
Return JSON only.
"""
}
]
text = tokenizer.apply_chat_template(
messages,
tokenize=False,
add_generation_prompt=True
)
inputs = tokenizer(text, return_tensors="pt").to(model.device)
outputs = model.generate(
**inputs,
max_new_tokens=1024,
do_sample=False
)
print(
tokenizer.decode(
outputs[0][inputs.input_ids.shape[-1]:],
skip_special_tokens=True
)
)
```
---
# Inference Tips
For deterministic evaluation:
```python
do_sample=False
```
For more diverse generations:
```python
do_sample=True
temperature=0.7
top_p=0.9
```
---
# Intended Applications
- Educational Platforms
- AI Tutors
- Question Generation Systems
- Ministry-style Practice Exams
- Curriculum Assessment Systems
- Intelligent Learning Platforms
---
# Limitations
- The model is optimized for Egyptian Ministry English examinations.
- Best performance is achieved when curriculum information is provided.
- Output quality depends on prompt specificity.
---
# Acknowledgements
This model was developed as part of an undergraduate graduation project focused on automatic generation of Egyptian Ministry-style English examination questions using Large Language Models.
Base Model:
Qwen Team
Fine-tuning Framework:
LLaMA-Factory
Synthetic Data Generation:
GLM-5.2
---

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{%- if tools %}
{{- '<|im_start|>system\n' }}
{%- if messages[0]['role'] == 'system' %}
{{- messages[0]['content'] }}
{%- else %}
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
{%- endif %}
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
{%- for tool in tools %}
{{- "\n" }}
{{- tool | tojson }}
{%- endfor %}
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
{%- else %}
{%- if messages[0]['role'] == 'system' %}
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
{%- else %}
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- for message in messages %}
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
{%- elif message.role == "assistant" %}
{{- '<|im_start|>' + message.role }}
{%- if message.content %}
{{- '\n' + message.content }}
{%- endif %}
{%- for tool_call in message.tool_calls %}
{%- if tool_call.function is defined %}
{%- set tool_call = tool_call.function %}
{%- endif %}
{{- '\n<tool_call>\n{"name": "' }}
{{- tool_call.name }}
{{- '", "arguments": ' }}
{{- tool_call.arguments | tojson }}
{{- '}\n</tool_call>' }}
{%- endfor %}
{{- '<|im_end|>\n' }}
{%- elif message.role == "tool" %}
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
{{- '<|im_start|>user' }}
{%- endif %}
{{- '\n<tool_response>\n' }}
{{- message.content }}
{{- '\n</tool_response>' }}
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
{{- '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- endif %}

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{
"architectures": [
"Qwen2ForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 151643,
"dtype": "bfloat16",
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 1536,
"initializer_range": 0.02,
"intermediate_size": 8960,
"layer_types": [
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"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention"
],
"max_position_embeddings": 32768,
"max_window_layers": 21,
"model_type": "qwen2",
"num_attention_heads": 12,
"num_hidden_layers": 28,
"num_key_value_heads": 2,
"pad_token_id": null,
"rms_norm_eps": 1e-06,
"rope_parameters": {
"rope_theta": 1000000.0,
"rope_type": "default"
},
"sliding_window": null,
"tie_word_embeddings": true,
"transformers_version": "5.8.0",
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 151936
}

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{
"bos_token_id": 151643,
"do_sample": true,
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151645,
151643
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"transformers_version": "5.8.0"
}

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{
"1": {
"topic": [
"doctor",
"nurse",
"patient",
"hospital",
"clinic",
"healthcare",
"medicine",
"medical",
"caregiver",
"care"
],
"grammar": [
"present perfect",
"present perfect continuous"
]
},
"2": {
"topic": [
"robot",
"robotics",
"automation",
"machine",
"machines",
"artificial intelligence",
"ai",
"future jobs",
"technology",
"workforce"
],
"grammar": [
"reported statements",
"reported commands",
"reported speech"
]
},
"3": {
"topic": [
"climate change",
"global warming",
"carbon emissions",
"pollution",
"environment",
"nature",
"sustainability",
"eco-friendly",
"greenhouse gases",
"protect nature"
],
"grammar": [
"modal verbs",
"deduction",
"regret",
"blame"
]
},
"4": {
"topic": [
"red sea",
"coral reef",
"coral reefs",
"whale",
"whales",
"marine life",
"ocean",
"sea",
"diving",
"marine tourism"
],
"grammar": [
"compound adjectives",
"adjectives"
]
},
"5": {
"topic": [
"causative",
"modern workplace",
"future workforce",
"future workplace",
"employees",
"outsourcing",
"delegation",
"technology at work",
"ai at work",
"career skills"
],
"grammar": [
"causative verbs",
"have something done",
"get something done"
]
},
"6": {
"topic": [
"friendship",
"friends",
"hang out",
"invitation",
"invite",
"socializing",
"embarrassing moment",
"party",
"meeting friends"
],
"grammar": [
"reported questions"
]
},
"7": {
"topic": [
"airport",
"boarding pass",
"passport",
"boarding gate",
"flight",
"terminal",
"customs",
"luggage",
"baggage",
"travel"
],
"grammar": [
"past perfect",
"past perfect continuous"
]
},
"8": {
"topic": [
"ancient egypt",
"egyptian museum",
"pharaoh",
"pyramids",
"hammurabi",
"ancient china",
"ancient greece",
"civilization",
"hieroglyphics",
"archaeology"
],
"grammar": [
"active voice",
"passive voice",
"active/passive"
]
},
"9": {
"topic": [
"black hole",
"black holes",
"galaxy",
"universe",
"astronomy",
"cosmos",
"space",
"event horizon",
"gravity",
"telescope"
],
"grammar": [
"verb patterns"
]
},
"10": {
"topic": [
"hospitality",
"kindness",
"guest",
"hosting",
"welcome",
"culture",
"cultural differences",
"generosity",
"hospitality traditions",
"good manners"
],
"grammar": [
"relative clauses"
]
},
"11": {
"topic": [
"literature",
"novel",
"novels",
"poetry",
"poem",
"poems",
"essay",
"author",
"writer",
"literary"
],
"grammar": [
"comparative adjectives",
"superlative adjectives",
"comparative",
"superlative"
]
},
"12": {
"topic": [
"university",
"college",
"campus",
"faculty",
"major",
"higher education",
"undergraduate",
"student life",
"admission",
"career path"
],
"grammar": [
"tag questions"
]
}
}

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{
"1": {
"unit_number": 1,
"topic": "Inside the World of Care",
"target_skills": [
"Reading comprehension",
"Listening for details",
"Speaking in role-plays",
"Writing analyzing models, peer review"
],
"grammar_focus": "Present Perfect and Present Perfect Continuous",
"life_skills": [
"Adaptability: being open to continuous learning and updating skills in a changing world",
"Critical Thinking: analyzing the impact of AI on jobs and discussing future skills",
"Problem-Solving: participating in workshops and finding new solutions"
],
"core_values": [
"Compassion",
"responsibility",
"teamwork",
"professional dedication",
"well-being",
"gratitude",
"imagination"
]
},
"2": {
"unit_number": 2,
"topic": "The Power of Machines",
"target_skills": [
"Reading comprehension",
"Listening for details",
"Speaking in discussions and role-plays",
"Vocabulary development, narrative and descriptive"
],
"grammar_focus": "Reported statements and commands",
"life_skills": [
"Creativity: using imagination to design new ideas, stories, or solutions",
"Collaboration: working with peers to complete tasks and share perspectives",
"Self-Expression: confidently presenting ideas through writing, speaking, or role-paly",
"Flexibility: adjusting to different roles and viewpoints in interactive activities"
],
"core_values": [
"Lifelong learning",
"growth mindset",
"human connection",
"balancing technology and humanity",
"cultural identity"
]
},
"3": {
"unit_number": 3,
"topic": "Protect Nature, Protect Future",
"target_skills": [
"Reading comprehension",
"descriptive writing",
"speaking for description",
"listening for detail",
"organizing information",
"vocabulary building",
"Writing persuasive essay"
],
"grammar_focus": "Modal verbs for (deduction, regret and blame)",
"life_skills": [
"Global Awareness: understanding how climate change affects vulnerable communities and recognizing issues of climate justice",
"Collaboration: engaging in discussions and debates to share ideas on climate activism and solutions",
"Empathy: appreciating the struggles of marginalized groups and supporting fairness in global decisions",
"Communication: expressing opinions clearly through debates, essays, and persuasive writing about environmental issues",
"Resilience: staying committed to positive action despite challenges posed by global problems"
],
"core_values": [
"National pride",
"appreciation of history",
"respect for cultural heritage"
]
},
"4": {
"unit_number": 4,
"topic": "Marine Life",
"target_skills": [
"Reading comprehension: short texts, conversations, and articles about coral reefs and whales",
"Listening for details: a podcast clip about ocean animals",
"Speaking for discussion: advantages and disadvantages of tourism in the Red Sea",
"Descriptive writing: a paragraph using adjectives and compound adjectives"
],
"grammar_focus": "Adjectives and Compound Adjectives",
"life_skills": [
"Critical Thinking: analyzing the importance of coral reefs, whales, and other marine life and evaluating human impact on ecosystems",
"Problem-Solving: suggesting solutions for protecting the environment while supporting tourism and conservation",
"Collaboration: working in pairs and groups to groups to discuss environmental issues, agree on solutions, and practice dialog",
"Social Responsibility: developing awareness of marine conservation, eco-friendly tourism, and global citizenship",
"Adaptability: learning new vocabulary and grammar in different contexts (tourism, medicine, legends) and applying them flexibly in writing and speaking"
],
"core_values": [
"Environmental Responsibility: recognizing the importance of protecting coral reefs and whales for a healthier ocean"
]
},
"5": {
"unit_number": 5,
"topic": "From Muscles to Mindset",
"target_skills": [
"Reading comprehension: passages about the modern workplace and the role of technology and AI",
"Listening for details: an audio script about the future workforce.",
"Speaking for debate: pros and cons of AI in the workplace",
"Grammar practice in writing: completing and rewriting sentences using correct forms"
],
"grammar_focus": "Use causative verbs (have and get) in various tenses to talk about having someone else perform a task or having a task done by someone",
"life_skills": [
"Adaptability: being open to continuous learning and updating skills in a changing world.",
"Critical Thinking: analyzing the impact of AI on jobs and discussing future skills.",
"Problem-Solving: participating in workshops and finding new solutions"
],
"core_values": [
"Growth Mindset: embracing a mindset of continuous learning and improvement",
"Innovation: investing in new solutions and ideas.",
"Collaboration: working together in a team setting"
]
},
"6": {
"unit_number": 6,
"topic": "Let's Hang Out!",
"target_skills": [
"Reading comprehension: a story about an embarrassing moment and a passage on the benefits of socializing",
"Listening for detail: a podcast on the benefits of socializing",
"Speaking for interaction: making and responding to invitations",
"Writing practice: writing an online review"
],
"grammar_focus": "Reported Questions",
"life_skills": [
"Social Skills: making and responding to invitations and understanding friendship",
"Self-Awareness: discussing feelings after an embarrassing moment and how to react under pressure",
"Emotional Intelligence: recognizing and responding to the emotions of others, such as when friends show kindness and forgiveness"
],
"core_values": [
"Friendship: valuing true friendship, forgiveness, and support",
"Well-being: understanding the importance of socializing for physical and mental health",
"Kindness: acting with affection"
]
},
"7": {
"unit_number": 7,
"topic": "At the Airport",
"target_skills": [
"Reading: Comprehending a short narrative about an airport travel; identifying vocabulary and idioms",
"Listening: Understanding an interview with an airport customer service manager giving travel advice",
"Speaking: Role-playing solutions to common travel problems (lost bag, missed flights or language barriers while traveling.) Practicing polite requests and problem-solving dialogs",
"Writing: Planning and writing an expository essay"
],
"grammar_focus": "Past Perfect / Past Perfect Continuous",
"life_skills": [
"Adaptability: Adjusting to unexpected travel delays and changing plans",
"Critical Thinking: Analyzing causes of travel problems and evaluating solutions",
"Problem-Solving: Finding practical ways to handle lost items",
"Resilience: Maintaining a positive attitude despite stressful travel situations"
],
"core_values": [
"Compassion",
"Responsibility",
"Teamwork",
"Professional Dedication",
"Well-being",
"Gratitude",
"Imagination"
]
},
"8": {
"unit_number": 8,
"topic": "A Journey Through Time",
"target_skills": [
"Reading: Comprehending articles on ancient civilizations (Egypt, China, Greece); identifying key details and understanding idioms",
"Listening: Understanding a narrative by Hammurabi and a tourist’s diary",
"Speaking: Presenting arguments for visiting Egypt; role-playing as an ancient ruler",
"Writing: Writing a short article using active/passive voice; writing an argumentative essay on Ancient Greece; writing a descriptive essay on the Egyptian Museum"
],
"grammar_focus": "Active/Passive Voice",
"life_skills": [
"Global Awareness: Understanding the historical significance and cultural contributions of ancient civilizations",
"Cultural Identity: Recognizing the roots of modern society in ancient innovations",
"Creativity: Designing presentations and stories based on historical contexts",
"Collaboration: Working in pairs/groups to discuss and present ideas about history"
],
"core_values": [
"National Pride",
"Appreciation of History",
"Respect for Cultural Heritage"
]
},
"9": {
"unit_number": 9,
"topic": "The Universe's Mysteries",
"target_skills": [
"Reading: Comprehending scientific passages about black holes; understanding idioms and figurative language",
"Listening: Understanding a radio broadcast and an expert interview about black holes; distinguishing myths from facts",
"Speaking: Debating whether black holes are fearsome or admirable; participating in 'Myth or Fact?' discussions",
"Writing: Writing a news report summarizing the 2019 black hole image discovery; writing a mystery story with clues and a solution"
],
"grammar_focus": "Verb Patterns",
"life_skills": [
"Critical Thinking: Analyzing complex scientific concepts and separating fact from fiction",
"Problem-Solving: Using evidence to debunk common misconceptions about space",
"Curiosity & Wonder: Fostering inquiry into the unknown aspects of the universe",
"Adaptability: Learning new vocabulary and concepts in a scientific context"
],
"core_values": [
"Lifelong Learning",
"Growth Mindset",
"Scientific Facts Acknowledgement"
]
},
"10": {
"unit_number": 10,
"topic": "People's Hospitality and Kindness",
"target_skills": [
"Reading: Comprehending texts about expressions of kindness across cultures; defining vocabulary from context",
"Listening: Understanding real-life stories of hospitality from different countries",
"Speaking: Sharing personal experiences of kindness; asking and answering questions using relative clauses; role-playing scenarios involving cultural differences",
"Writing: Writing a diary entry describing an experience of unexpected kindness"
],
"grammar_focus": "Relative Clauses",
"life_skills": [
"Social Skills: Making and responding to invitations and understanding social norms",
"Empathy: Appreciating diverse cultural practices of hospitality and kindness",
"Global Citizenship: Recognizing universal human values across different societies",
"Communication: Expressing feelings and experiences clearly and respectfully",
"Well-being: Understanding the importance of socializing for physical and mental health"
],
"core_values": [
"Friendship",
"Kindness",
"Well-being"
]
},
"11": {
"unit_number": 11,
"topic": "Literature",
"target_skills": [
"Reading: Comprehending texts about types of literature (novels, essays); analyzing literary elements",
"Listening: Understanding an interview with a writer and comparisons between literary works",
"Speaking: Discussing favorite literary forms; comparing authors and genres; presenting on a chosen type of literature",
"Writing: Writing a simple poem following specific structural guidelines"
],
"grammar_focus": "Comparative/Superlative Adjectives",
"life_skills": [
"Critical Thinking: Analyzing how different literary forms convey meaning and emotion",
"Creativity: Expressing ideas through poetic form and imagery",
"Self-Expression: Confidently sharing personal interpretations of literature",
"Appreciation of Art: Recognizing the value of storytelling and artistic expression across cultures"
],
"core_values": [
"Lifelong Learning",
"Creativity"
]
},
"12": {
"unit_number": 12,
"topic": "University Life",
"target_skills": [
"Reading: Comprehending texts about choosing a university",
"Listening: Getting gist and key details",
"Speaking: Discussing and justifying university/career",
"Writing: Writing an opinion essay, writing a concise biography telling the most important facts about a person’s life"
],
"grammar_focus": "Tag Questions",
"life_skills": [
"Growth Mindset: Embracing a mindset of continuous learning and improvement",
"Innovation: Investing in new solutions and ideas",
"Collaboration: Working together in a team setting",
"Responsibility: Professional Dedication",
"Adaptability: Adjusting to new environments and expectations (school to university)",
"Critical Thinking: Evaluating educational and career pathways",
"Problem-Solving: Navigating decisions about future studies and careers",
"Independence: Developing self-reliance and personal responsibility",
"Collaboration: Working in pairs/groups to discuss goals and advice"
],
"core_values": [
"Growth Mindset",
"Innovation",
"Collaboration"
]
}
}