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SFT_Advanced_Risk_Summarization_Qwen3_4B_Base
yujunzhou/SFT_Advanced_Risk_Summarization_Qwen3_4B_Base
SFT_Advanced_Risk_Summarization_Qwen3_4B_Base is a text generation model from yujunzhou. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Sep 24, 2025
- Updated
- Sep 24, 2025
- SHA
- 9d60585b
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
SFT_Advanced_Risk_Summarization_Qwen3_4B_Base
This model is a fine-tuned version of Qwen/Qwen3-4B-Base on the Advanced_Risk_Summarization_Qwen3_4B_Base dataset.
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 64
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.19.2
- Tokenizers 0.21.1
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- License
- apache-2.0
- Created
- Sep 24, 2025
- Updated
- Sep 24, 2025