---
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: Qwen/Qwen1.5-7B-Chat
model-index:
- name: Qwen1.5-7B-Chat
  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. -->

# Qwen1.5-7B-Chat

This model is a fine-tuned version of [/datas/huggingface/Qwen1.5-7B-Chat](https://huggingface.co//datas/huggingface/Qwen1.5-7B-Chat) 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
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- 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_langgptai__qwen1.5-7b-chat-sa-v0.1)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |16.58|
|IFEval (0-Shot)    |42.68|
|BBH (3-Shot)       |20.30|
|MATH Lvl 5 (4-Shot)| 3.02|
|GPQA (0-shot)      | 8.28|
|MuSR (0-shot)      | 3.06|
|MMLU-PRO (5-shot)  |22.14|