---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2-0.5B
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: Qwen2-0.5B-SFT
  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. -->

# Qwen2-0.5B-SFT

This model is a fine-tuned version of [Qwen/Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5691

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.6625        | 0.1081 | 100  | 1.6427          |
| 1.5916        | 0.2162 | 200  | 1.6277          |
| 1.584         | 0.3242 | 300  | 1.6156          |
| 1.5852        | 0.4323 | 400  | 1.6043          |
| 1.6071        | 0.5404 | 500  | 1.5959          |
| 1.5758        | 0.6485 | 600  | 1.5859          |
| 1.5518        | 0.7566 | 700  | 1.5786          |
| 1.5974        | 0.8646 | 800  | 1.5724          |
| 1.5532        | 0.9727 | 900  | 1.5691          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3