---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-14B-Instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: coupling_model
  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. -->

# coupling_model

This model is a fine-tuned version of [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) on the couplingDetection_finetune_train dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4664

## 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: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use 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: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.656         | 0.1736 | 100  | 0.5767          |
| 0.5695        | 0.3472 | 200  | 0.5406          |
| 0.5849        | 0.5208 | 300  | 0.4985          |
| 0.527         | 0.6944 | 400  | 0.4857          |
| 0.4782        | 0.8681 | 500  | 0.4704          |
| 0.4357        | 1.0417 | 600  | 0.4712          |
| 0.4033        | 1.2153 | 700  | 0.4654          |
| 0.4438        | 1.3889 | 800  | 0.4594          |
| 0.4297        | 1.5625 | 900  | 0.4532          |
| 0.4012        | 1.7361 | 1000 | 0.4480          |
| 0.2866        | 1.9097 | 1100 | 0.4806          |
| 0.2718        | 2.0833 | 1200 | 0.4796          |
| 0.3169        | 2.2569 | 1300 | 0.4686          |
| 0.276         | 2.4306 | 1400 | 0.4692          |
| 0.2616        | 2.6042 | 1500 | 0.4693          |
| 0.2545        | 2.7778 | 1600 | 0.4671          |
| 0.2673        | 2.9514 | 1700 | 0.4665          |


### Framework versions

- PEFT 0.15.2
- Transformers 4.52.4
- Pytorch 2.7.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1