README.md

---
base_model: unsloth/Llama-3.2-3B-Instruct-bnb-4bit
datasets:
- microsoft/orca-agentinstruct-1M-v1
pipeline_tag: text-generation
library_name: transformers
license: llama3.2
tags:
- unsloth
- transformers
model-index:
- name: analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit
  results:
  - task:
      type: text-generation
    dataset:
      type: lm-evaluation-harness
      name: bbh
    metrics:
    - name: acc_norm
      type: acc_norm
      value: 0.4168
      verified: false
  - task:
      type: text-generation
    dataset:
      type: lm-evaluation-harness
      name: gpqa
    metrics:
    - name: acc_norm
      type: acc_norm
      value: 0.2691
      verified: false
  - task:
      type: text-generation
    dataset:
      type: lm-evaluation-harness
      name: math
    metrics:
    - name: exact_match
      type: exact_match
      value: 0.0867
      verified: false
  - task:
      type: text-generation
    dataset:
      type: lm-evaluation-harness
      name: mmlu
    metrics:
    - name: acc_norm
      type: acc_norm
      value: 0.2822
      verified: false
  - task:
      type: text-generation
    dataset:
      type: lm-evaluation-harness
      name: musr
    metrics:
    - name: acc_norm
      type: acc_norm
      value: 0.3648
      verified: false
  - task:
      type: text-generation
    dataset:
      type: lm-evaluation-harness
      name: hellaswag
    metrics:
    - name: acc
      type: acc
      value: 0.5141
      verified: false
    - name: acc_norm
      type: acc_norm
      value: 0.6793
      verified: false
      
---

![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e6d37e02dee9bcb9d9fa18/X4WG8AnMFqJuWkRvA0CrW.png)

### eval

The fine tuned model (DevQuasar/analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit)
has gained performace over the base model (unsloth/Llama-3.2-3B-Instruct-bnb-4bit) 
in the following tasks.

| Test | Base Model | Fine-Tuned Model | Performance Gain |
|---|---|---|---|
| leaderboard_bbh_logical_deduction_seven_objects | 0.2520 | 0.4360 | 0.1840 |
| leaderboard_bbh_logical_deduction_five_objects | 0.3560 | 0.4560 | 0.1000 |
| leaderboard_musr_team_allocation | 0.2200 | 0.3200 | 0.1000 |
| leaderboard_bbh_disambiguation_qa | 0.3040 | 0.3760 | 0.0720 |
| leaderboard_gpqa_diamond | 0.2222 | 0.2727 | 0.0505 |
| leaderboard_bbh_movie_recommendation | 0.5960 | 0.6360 | 0.0400 |
| leaderboard_bbh_formal_fallacies | 0.5080 | 0.5400 | 0.0320 |
| leaderboard_bbh_tracking_shuffled_objects_three_objects | 0.3160 | 0.3440 | 0.0280 |
| leaderboard_bbh_causal_judgement | 0.5455 | 0.5668 | 0.0214 |
| leaderboard_bbh_web_of_lies | 0.4960 | 0.5160 | 0.0200 |
| leaderboard_math_geometry_hard | 0.0455 | 0.0606 | 0.0152 |
| leaderboard_math_num_theory_hard | 0.0519 | 0.0649 | 0.0130 |
| leaderboard_musr_murder_mysteries | 0.5280 | 0.5400 | 0.0120 |
| leaderboard_gpqa_extended | 0.2711 | 0.2802 | 0.0092 |
| leaderboard_bbh_sports_understanding | 0.5960 | 0.6040 | 0.0080 |
| leaderboard_math_intermediate_algebra_hard | 0.0107 | 0.0143 | 0.0036 |
 

### Framework versions

- unsloth 2024.11.5
- trl 0.12.0

### Training HW
- V100