| license: other | |
| library_name: peft | |
| tags: | |
| - llama-factory | |
| - lora | |
| - generated_from_trainer | |
| base_model: microsoft/Phi-3-mini-4k-instruct | |
| model-index: | |
| - name: Phi-3-mini-4k-instruct | |
| 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. --> | |
| # Phi-3-mini-4k-instruct | |
| This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on the LangGPT_community, the LangGPT_alpaca and the LangGPT_seed datasets. | |
| ## 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-05 | |
| - train_batch_size: 2 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 8 | |
| - total_train_batch_size: 16 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - num_epochs: 5.0 | |
| ### Training results | |
| ### Framework versions | |
| - PEFT 0.10.0 | |
| - Transformers 4.41.1 | |
| - Pytorch 2.3.0+cu121 | |
| - Datasets 2.19.1 | |
| - Tokenizers 0.19.1 | |
| # [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_sci-m-wang__Phi-3-mini-4k-instruct-sa-v0.1) | |
| | Metric |Value| | |
| |-------------------|----:| | |
| |Avg. |25.55| | |
| |IFEval (0-Shot) |50.21| | |
| |BBH (3-Shot) |36.61| | |
| |MATH Lvl 5 (4-Shot)|13.14| | |
| |GPQA (0-shot) |10.51| | |
| |MuSR (0-shot) | 9.65| | |
| |MMLU-PRO (5-shot) |33.17| | |