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---
language:
- en
license: apache-2.0
library_name: transformers
datasets:
- Open-Orca/OpenOrca
metrics:
- accuracy
pipeline_tag: question-answering
model-index:
- name: YetAnother_Open-Llama-3B-LoRA-OpenOrca
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 25.94
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 25.76
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 24.65
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 0.0
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 50.83
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 0.0
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca
name: Open LLM Leaderboard
---
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** Andron00e
- **Language(s) (NLP):** Python (PyTorch, transformers, peft)
- **License:** apache-2.0
- **Finetuned from model:** openlm-research/open_llama_3b
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** https://github.com/Andron00e/Fine-Tuning-project
### Training Data
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
https://huggingface.co/datasets/Open-Orca/OpenOrca
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
Evaluation of the model was carried out using EulerAI library, more [precisely](https://github.com/EleutherAI/lm-evaluation-harness/tree/e47e01beea79cfe87421e2dac49e64d499c240b4#task-versioning)
#### Testing Data
<!-- This should link to a Data Card if possible. -->
hellaswag testing dataset
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
Accuracy
### Results and Model Examination
| Task |Version| Metric |Value | |Stderr|
|---------|------:|--------|-----:|---|-----:|
|hellaswag| 0|acc |0.4899|卤 |0.0050|
| | |acc_norm|0.6506|卤 |0.0048|
## Citations
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
```
@software{openlm2023openllama,
author = {Geng, Xinyang and Liu, Hao},
title = {OpenLLaMA: An Open Reproduction of LLaMA},
month = May,
year = 2023,
url = {https://github.com/openlm-research/open_llama}
}
```
```
@software{eval-harness,
author = {Gao, Leo and
Tow, Jonathan and
Biderman, Stella and
Black, Sid and
DiPofi, Anthony and
Foster, Charles and
Golding, Laurence and
Hsu, Jeffrey and
McDonell, Kyle and
Muennighoff, Niklas and
Phang, Jason and
Reynolds, Laria and
Tang, Eric and
Thite, Anish and
Wang, Ben and
Wang, Kevin and
Zou, Andy},
title = {A framework for few-shot language model evaluation},
month = sep,
year = 2021,
publisher = {Zenodo},
version = {v0.0.1},
doi = {10.5281/zenodo.5371628},
url = {https://doi.org/10.5281/zenodo.5371628}
}
```
## Model Card Authors and Contact
[Andron00e](https://github.com/Andron00e)
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Andron00e__YetAnother_Open-Llama-3B-LoRA-OpenOrca)
| Metric |Value|
|---------------------------------|----:|
|Avg. |21.20|
|AI2 Reasoning Challenge (25-Shot)|25.94|
|HellaSwag (10-Shot) |25.76|
|MMLU (5-Shot) |24.65|
|TruthfulQA (0-shot) | 0.00|
|Winogrande (5-shot) |50.83|
|GSM8k (5-shot) | 0.00|
|