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ninadp
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Model Details
Model Provider
ninadp
Model Tree
microsoft/Phi-3-mini-4k-instruct
Input Modalities
Output Modalities
Supported Functionality
| Property | Value |
|---|---|
| Base Model | microsoft/Phi-3-mini-4k-instruct |
| Fine-tuning Method | QLoRA (Supervised Fine-Tuning) |
| LoRA Rank | r=32, alpha=64 |
| Training Examples | 250 Marathi vocabulary items |
| Best Experiment | Exp4 (lr=2e-4, epochs=25, r=32) |
| Train/Eval Split | 80/20 |
| Training Hardware | Google Colab T4 GPU |
| Words | Score |
|---|---|
| Seen words (training set) | 100.0% |
| Unseen words (generalisation) | 78.8% |
| Overall | 89.4% |
Evaluation criteria:
Given an English word, generates a Marathi lesson: