---
library_name: transformers
license: cc-by-nc-4.0
language:
- vi
- en
base_model:
- Qwen/Qwen3Guard-Gen-0.6B
pipeline_tag: text-generation
---

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# Huyisbeee/SFT-Guard-Qwen3Guard-Gen-0.6B

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 4
- 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_steps: 54

### Training results



### Framework versions

- Transformers 5.14.1
- Pytorch 2.12.1+cu130
- Datasets 4.8.4
- Tokenizers 0.22.2