README.md

---
base_model: unsloth/llama-3.2-3b-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- synthetic-data
license: apache-2.0
language:
- en
datasets:
- 1rsh/SPInO-ParkinsonsDiseaseQA
widget:
- text: What is the effect of alpha-synuclein on microglia?
model-index:
- name: Llama 3.2 3B | Parkinson's Disease
  results:
  - task:
      type: question-answering
      name: Question Answering
    dataset:
      name: 1rsh/SPInO-ParkinsonsDiseaseQA
      type: 1rsh/SPInO-ParkinsonsDiseaseQA
      split: test
    metrics:
    - type: rouge
      value: 0.432
      name: ROUGE-1
  - task:
      type: question-answering
      name: Question Answering
    dataset:
      name: 1rsh/SPInO-ParkinsonsDiseaseQA
      type: 1rsh/SPInO-ParkinsonsDiseaseQA
      split: test
    metrics:
    - type: rouge
      value: 0.253
      name: ROUGE-2
  - task:
      type: question-answering
      name: Question Answering
    dataset:
      name: 1rsh/SPInO-ParkinsonsDiseaseQA
      type: 1rsh/SPInO-ParkinsonsDiseaseQA
      split: test
    metrics:
    - type: rouge
      value: 0.372
      name: ROUGE-L
  - task:
      type: question-answering
      name: Question Answering
    dataset:
      name: 1rsh/SPInO-ParkinsonsDiseaseQA
      type: 1rsh/SPInO-ParkinsonsDiseaseQA
      split: test
    metrics:
    - type: meteor
      value: 0.386
      name: METEOR
pipeline_tag: question-answering
---

# Uploaded  model

- **Developed by:** 1rsh
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3.2-3b-bnb-4bit
- **Finetuned using:** 1rsh/SPInO-ParkinsonsDiseaseQA

This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

This model has significantly better performance over base `unsloth/Llama-3.2-3B`!

```
relative_performance =
{
  'ROUGE-1': 1.510526033477611,
  'ROUGE-2': 1.9383727599984661,
  'ROUGE-L': 1.6544738302783082,
  'METEOR': 1.1253973831879713
}
```