---
library_name: peft
license: other
base_model: Qwen/Qwen2.5-3B
tags:
- generated_from_trainer
model-index:
- name: single-node-single-gpu-qwen-custom-sft
  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. -->

# single-node-single-gpu-qwen-custom-sft

This model is a fine-tuned version of [Qwen/Qwen2.5-3B](https://huggingface.co/Qwen/Qwen2.5-3B) 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 10
- total_train_batch_size: 20
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 500

### Training results



### Framework versions

- PEFT 0.14.0
- Transformers 4.51.3
- Pytorch 2.3.0+cu121
- Datasets 2.15.0
- Tokenizers 0.21.2