初始化项目，由ModelHub XC社区提供模型

Model: Huyisbeee/SFT-Guard-Qwen3Guard-Gen-0.6B
Source: Original Platform

README.md

@@ -0,0 +1,58 @@
+---
+library_name: transformers
+license: cc-by-nc-4.0
+language:
+- vi
+- en
+base_model:
+- Qwen/Qwen3Guard-Gen-0.6B
+pipeline_tag: text-generation
+---
+
+<!-- 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. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+
+# 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