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---
language:
- en
license: mit
tags:
- ORPO
datasets:
- mlabonne/orpo-dpo-mix-40k
model-index:
- name: Barcenas-14b-Phi-3-medium-ORPO
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 47.99
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 51.03
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 17.45
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 10.18
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 20.53
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 41.37
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
name: Open LLM Leaderboard
---
Barcenas-14b-Phi-3-medium-ORPO
Model trained with the innovative ORPO method, based on the robust VAGOsolutions/SauerkrautLM-Phi-3-medium.
The model was trained with the dataset: mlabonne/orpo-dpo-mix-40k, which combines diverse data sources to enhance conversational capabilities and contextual understanding.
Made with ❤️ in Guadalupe, Nuevo Leon, Mexico 🇲🇽
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Danielbrdz__Barcenas-14b-Phi-3-medium-ORPO)
| Metric |Value|
|-------------------|----:|
|Avg. |31.42|
|IFEval (0-Shot) |47.99|
|BBH (3-Shot) |51.03|
|MATH Lvl 5 (4-Shot)|17.45|
|GPQA (0-shot) |10.18|
|MuSR (0-shot) |20.53|
|MMLU-PRO (5-shot) |41.37|
|