---
library_name: peft
license: apache-2.0
base_model: Qwen/qwen2.5-1.5b-instruct
tags:
- generated_from_trainer
datasets:
- customized
model-index:
- name: qwen2.5-1.5b-instruct_gsm8k_qlora
  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. -->

# qwen2.5-1.5b-instruct_gsm8k_qlora

This model is a fine-tuned version of [Qwen/qwen2.5-1.5b-instruct](https://huggingface.co/Qwen/qwen2.5-1.5b-instruct) on the customized 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 0.01
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3