---
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: Qwen/Qwen2.5-0.5B-Instruct
model-index:
- name: Qwen2.5-0.5B-Instruct
  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. -->

# Qwen2.5-0.5B-Instruct

This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the alpaca_mgtv_p2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2634

## 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: 16
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4381        | 0.1990 | 35   | 0.3907          |
| 0.3556        | 0.3980 | 70   | 0.3124          |
| 0.3228        | 0.5970 | 105  | 0.3359          |
| 0.3026        | 0.7960 | 140  | 0.2879          |
| 0.2802        | 0.9950 | 175  | 0.2749          |
| 0.2645        | 1.1940 | 210  | 0.2682          |
| 0.3012        | 1.3930 | 245  | 0.2593          |
| 0.2628        | 1.5920 | 280  | 0.2647          |
| 0.2493        | 1.7910 | 315  | 0.2653          |
| 0.2642        | 1.9900 | 350  | 0.2634          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1