---
base_model: Qwen/Qwen2-1.5B
datasets:
- generator
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Qwen2-1.5B-Instruct-Finetune-LoRA
  results: []
---

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# Qwen2-1.5B-Instruct-Finetune-LoRA

This model is a fine-tuned version of [Qwen/Qwen2-1.5B](https://huggingface.co./Qwen/Qwen2-1.5B) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1999

## 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: 8
- eval_batch_size: 8
- seed: 2503
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 16
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1454        | 0.7878 | 2000 | 0.1760          |
| 0.0836        | 1.5756 | 4000 | 0.1999          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1