library_name, license, language, base_model, pipeline_tag
| library_name | license | language | base_model | pipeline_tag | |||
|---|---|---|---|---|---|---|---|
| transformers | cc-by-nc-4.0 |
|
|
text-generation |
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