---
library_name: peft
license: other
base_model: unsloth/DeepSeek-R1-Distill-Qwen-7B-bnb-4bit
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: qwen7b_limo_lora_2
  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. -->

# qwen7b_limo_lora_2

This model is a fine-tuned version of [unsloth/DeepSeek-R1-Distill-Qwen-7B-bnb-4bit](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-7B-bnb-4bit) on the limo_restructured 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use paged_adamw_8bit 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
- num_epochs: 1.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.12.0
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0