---
library_name: peft
license: apache-2.0
base_model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.7
tags:
- generated_from_trainer
model-index:
- name: Qwen2.5-14B-MegaFusion_V0
  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. -->

# Qwen2.5-14B-MegaFusion_V0

This model is a fine-tuned version of [Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.7](https://huggingface.co/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.7) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.9871

## 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: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- 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: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 7.7644        | 0.2309 | 10   | 7.6364          |
| 7.5233        | 0.4618 | 20   | 7.4077          |
| 7.3034        | 0.6926 | 30   | 7.1544          |
| 7.0421        | 0.9235 | 40   | 6.8892          |
| 6.7811        | 1.1385 | 50   | 6.6204          |
| 6.4996        | 1.3694 | 60   | 6.3540          |
| 6.255         | 1.6003 | 70   | 6.0940          |
| 5.9838        | 1.8312 | 80   | 5.8364          |
| 5.7303        | 2.0462 | 90   | 5.5914          |
| 5.5161        | 2.2771 | 100  | 5.3681          |
| 5.3165        | 2.5079 | 110  | 5.1814          |
| 5.1162        | 2.7388 | 120  | 5.0485          |
| 5.0042        | 2.9697 | 130  | 4.9871          |


### Framework versions

- PEFT 0.15.2
- Transformers 4.52.4
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.2