---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen3-Coder-30B-A3B-Instruct
tags:
- base_model:adapter:Qwen/Qwen3-Coder-30B-A3B-Instruct
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: peft-FT-3-Coder-30b-v2
  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. -->

# peft-FT-3-Coder-30b-v2

This model is a fine-tuned version of [Qwen/Qwen3-Coder-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0112

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.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: 0.03
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0885        | 0.9231 | 30   | 1.0279          |
| 1.0246        | 1.8308 | 60   | 1.0112          |


### Framework versions

- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1