---
library_name: peft
license: other
base_model: Qwen/Qwen2.5-3B-Instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: qwen2.5-hassaniya-lora
  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-hassaniya-lora

This model is a fine-tuned version of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) on the hassaniya_alpaca_train and the hassaniya_sharegpt_train datasets.
It achieves the following results on the evaluation set:
- Loss: 1.4983

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 2
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.9216        | 0.8715 | 50   | 1.7769          |
| 1.2697        | 1.7495 | 100  | 1.5439          |
| 0.9717        | 2.6275 | 150  | 1.5017          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.51.3
- Pytorch 2.10.0+cu128
- Datasets 2.21.0
- Tokenizers 0.21.1