---
library_name: peft
license: apache-2.0
base_model: unsloth/qwen2.5-coder-7b-bnb-4bit
tags:
- base_model:adapter:unsloth/qwen2.5-coder-7b-bnb-4bit
- lora
- transformers
- unsloth
pipeline_tag: text-generation
model-index:
- name: qwen-mcoder
  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. -->

# qwen-mcoder

This model is a fine-tuned version of [unsloth/qwen2.5-coder-7b-bnb-4bit](https://huggingface.co/unsloth/qwen2.5-coder-7b-bnb-4bit) 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: 16
- eval_batch_size: 16
- seed: 11
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1
- training_steps: 2000

### Training results



### Framework versions

- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.3.0
- Tokenizers 0.22.1