| 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| | |