---
library_name: peft
license: other
base_model: Qwen/Qwen2.5-3B
tags:
- generated_from_trainer
model-index:
- name: diemlnt-qwen-3B-lora-wiki-1.0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# diemlnt-qwen-3B-lora-wiki-1.0

This model is a fine-tuned version of [Qwen/Qwen2.5-3B](https://huggingface.co/Qwen/Qwen2.5-3B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5847

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| No log        | 1.0   | 6875  | 1.5916          |
| 1.9156        | 2.0   | 13750 | 1.5860          |
| 1.8756        | 3.0   | 20625 | 1.5861          |
| 1.8756        | 4.0   | 27500 | 1.5833          |
| 1.86          | 5.0   | 34375 | 1.5828          |
| 1.8596        | 6.0   | 41250 | 1.5863          |
| 1.8596        | 7.0   | 48125 | 1.5847          |


### Framework versions

- PEFT 0.15.0
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1