d16c387918
Model: DevQuasar/analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit Source: Original Platform
121 lines
3.3 KiB
Markdown
121 lines
3.3 KiB
Markdown
---
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base_model: unsloth/Llama-3.2-3B-Instruct-bnb-4bit
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datasets:
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- microsoft/orca-agentinstruct-1M-v1
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pipeline_tag: text-generation
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library_name: transformers
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license: llama3.2
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tags:
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- unsloth
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- transformers
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model-index:
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- name: analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit
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results:
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- task:
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type: text-generation
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dataset:
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type: lm-evaluation-harness
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name: bbh
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metrics:
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- name: acc_norm
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type: acc_norm
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value: 0.4168
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verified: false
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- task:
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type: text-generation
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dataset:
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type: lm-evaluation-harness
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name: gpqa
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metrics:
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- name: acc_norm
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type: acc_norm
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value: 0.2691
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verified: false
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- task:
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type: text-generation
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dataset:
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type: lm-evaluation-harness
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name: math
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metrics:
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- name: exact_match
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type: exact_match
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value: 0.0867
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verified: false
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- task:
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type: text-generation
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dataset:
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type: lm-evaluation-harness
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name: mmlu
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metrics:
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- name: acc_norm
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type: acc_norm
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value: 0.2822
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verified: false
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- task:
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type: text-generation
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dataset:
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type: lm-evaluation-harness
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name: musr
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metrics:
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- name: acc_norm
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type: acc_norm
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value: 0.3648
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verified: false
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- task:
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type: text-generation
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dataset:
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type: lm-evaluation-harness
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name: hellaswag
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metrics:
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- name: acc
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type: acc
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value: 0.5141
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verified: false
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- name: acc_norm
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type: acc_norm
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value: 0.6793
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verified: false
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---
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### Eval
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The fine tuned model (DevQuasar/analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit)
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has gained performace over the base model (unsloth/Llama-3.2-3B-Instruct-bnb-4bit)
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in the following tasks.
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| Test | Base Model | Fine-Tuned Model | Performance Gain |
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|---|---|---|---|
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| leaderboard_bbh_logical_deduction_seven_objects | 0.2520 | 0.4360 | 0.1840 |
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| leaderboard_bbh_logical_deduction_five_objects | 0.3560 | 0.4560 | 0.1000 |
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| leaderboard_musr_team_allocation | 0.2200 | 0.3200 | 0.1000 |
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| leaderboard_bbh_disambiguation_qa | 0.3040 | 0.3760 | 0.0720 |
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| leaderboard_gpqa_diamond | 0.2222 | 0.2727 | 0.0505 |
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| leaderboard_bbh_movie_recommendation | 0.5960 | 0.6360 | 0.0400 |
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| leaderboard_bbh_formal_fallacies | 0.5080 | 0.5400 | 0.0320 |
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| leaderboard_bbh_tracking_shuffled_objects_three_objects | 0.3160 | 0.3440 | 0.0280 |
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| leaderboard_bbh_causal_judgement | 0.5455 | 0.5668 | 0.0214 |
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| leaderboard_bbh_web_of_lies | 0.4960 | 0.5160 | 0.0200 |
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| leaderboard_math_geometry_hard | 0.0455 | 0.0606 | 0.0152 |
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| leaderboard_math_num_theory_hard | 0.0519 | 0.0649 | 0.0130 |
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| leaderboard_musr_murder_mysteries | 0.5280 | 0.5400 | 0.0120 |
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| leaderboard_gpqa_extended | 0.2711 | 0.2802 | 0.0092 |
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| leaderboard_bbh_sports_understanding | 0.5960 | 0.6040 | 0.0080 |
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| leaderboard_math_intermediate_algebra_hard | 0.0107 | 0.0143 | 0.0036 |
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### Framework versions
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- unsloth 2024.11.5
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- trl 0.12.0
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### Training HW
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- V100
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I'm doing this to 'Make knowledge free for everyone', using my personal time and resources.
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If you want to support my efforts please visit my ko-fi page: https://ko-fi.com/devquasar
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Also feel free to visit my website https://devquasar.com/ |