58 lines
1.4 KiB
Markdown
58 lines
1.4 KiB
Markdown
---
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library_name: transformers
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license: cc-by-nc-4.0
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language:
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- vi
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- en
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base_model:
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- Qwen/Qwen3Guard-Gen-0.6B
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pipeline_tag: text-generation
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<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)
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# Huyisbeee/SFT-Guard-Qwen3Guard-Gen-0.6B
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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- total_eval_batch_size: 4
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 54
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### Training results
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### Framework versions
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- Transformers 5.14.1
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- Pytorch 2.12.1+cu130
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- Datasets 4.8.4
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- Tokenizers 0.22.2 |