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SFT_Advanced_Risk_Self_Grading_llama
yujunzhou/SFT_Advanced_Risk_Self_Grading_llama
SFT_Advanced_Risk_Self_Grading_llama 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 llama3.1.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama3.1
- Model type
- llama
- Access
- Public
- Created
- Sep 24, 2025
- Updated
- Dec 17, 2025
- SHA
- 7ab1966e
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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_Self_Grading_llama
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the Advanced_Risk_Self_Grading_llama 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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: 5.0
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
- llama
- License
- llama3.1
- Created
- Sep 24, 2025
- Updated
- Dec 17, 2025