---
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: Menouar/saqr-7b-merged
model-index:
- name: saqr-7b-beta
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# saqr-7b-beta

This model is a fine-tuned version of [Menouar/saqr-7b-merged](https://huggingface.co/Menouar/saqr-7b-merged) on an unknown dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 5000

### Training results



### Framework versions

- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
# [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_Menouar__saqr-7b-beta)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |44.84|
|AI2 Reasoning Challenge (25-Shot)|47.78|
|HellaSwag (10-Shot)              |77.61|
|MMLU (5-Shot)                    |25.80|
|TruthfulQA (0-shot)              |39.38|
|Winogrande (5-shot)              |70.56|
|GSM8k (5-shot)                   | 7.88|