license, base_model, tags, language
| license | base_model | tags | language | |||||
|---|---|---|---|---|---|---|---|---|
| cc-by-nc-3.0 | unsloth/phi-4-mini-reasoning |
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Phi-4 Mini Reasoning – JEE Mathematics Finetuned Model
A new version of the model present at harsh762011/numiano14.
Uploaded Finetuned Model
- Developed by: Harsh Srivastava
- License: cc-by-nc-3.0
- Finetuned from model: unsloth/phi-4-mini-reasoning
This Phi-4 model was trained faster using Unsloth and Hugging Face TRL.
Description
This model is a finetuned version of Phi-4 Mini Reasoning designed for solving JEE-level mathematics problems.
The model is optimized for:
- Step-by-step mathematical reasoning
- Symbolic problem solving
- Competitive exam-style question solving
Training Dataset
Total samples used: 500k+ filtered mathematics and reasoning samples.
The training pipeline focuses on JEE-level mathematical difficulty using keyword-based dataset filtering.
Sources
- AI-MO/NuminaMath-CoT — 293k samples (2 epochs)
- AI-MO/NuminaMath-TIR — 68,850 samples
- MetaMathQA — 70k samples
- TIGER-Lab MathInstruct — 125,220 samples
- PhysicsWallahAI JEE Main 2025 (Jan) — 182 samples
- PhysicsWallahAI JEE Main 2025 (Apr) — 169 samples
- MMLU High School Mathematics — 78 samples
- MMLU College Mathematics — 50 samples
- MMLU Abstract Algebra — 25 samples
Training Details
- Base model: Phi-4 Mini Reasoning
- Framework: Unsloth + Hugging Face TRL
- Training method: LoRA finetuning
- Sequence length: 2048
- Optimizer: AdamW 8bit
Intended Purpose
The model is designed for:
- JEE mathematics reasoning
- Step-by-step mathematical explanations
- Competitive exam problem solving
- Mathematical chain-of-thought reasoning
Limitations
- The model may still generate incorrect mathematical reasoning.
- Outputs should be verified for high-stakes usage.
- The model is still under active improvement and continued training.