---
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|