---
library_name: peft
license: other
base_model: NTQAI/Nxcode-CQ-7B-orpo
tags:
- generated_from_trainer
model-index:
- name: Nxcode-CQ-7B-orpo_PythonQLoRA
  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. -->

# Nxcode-CQ-7B-orpo_PythonQLoRA

This model is a fine-tuned version of [NTQAI/Nxcode-CQ-7B-orpo](https://huggingface.co/NTQAI/Nxcode-CQ-7B-orpo) 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 10
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.13.3.dev0
- Transformers 4.46.0.dev0
- Pytorch 2.5.0+cu118
- Datasets 3.0.1
- Tokenizers 0.20.1