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---
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
---
### 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
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If you want to support my efforts please visit my ko-fi page: https://ko-fi.com/devquasar
Also feel free to visit my website https://devquasar.com/ |