---
base_model: Qwen/Qwen2-0.5B-Instruct
library_name: peft
license: apache-2.0
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: test_0918_upload_3
  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. -->

# test_0918_upload_3

This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on the identity and the alpaca_en_demo datasets.
It achieves the following results on the evaluation set:
- Loss: 1.9728

## 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
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 2
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.1111 | 1    | 2.5265          |
| No log        | 0.2222 | 2    | 2.4336          |
| No log        | 0.3333 | 3    | 2.3057          |
| No log        | 0.4444 | 4    | 2.2072          |
| No log        | 0.5556 | 5    | 2.1376          |
| No log        | 0.6667 | 6    | 2.0650          |
| No log        | 0.7778 | 7    | 2.0119          |
| No log        | 0.8889 | 8    | 1.9691          |
| No log        | 1.0    | 9    | 1.9728          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1