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SG_X9d
tzchen07/SG_X9d
SG_X9d is a text generation model from tzchen07. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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10.5 GB on disk
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- gemma2
- Access
- Public
- Created
- May 28, 2026
- Updated
- May 28, 2026
- SHA
- d2ecbf96
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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. -->
sg_x9d
This model is a fine-tuned version of jxm/shieldgemma-2b on the v1.6, the v1.6b, the v1.6c and the v1.6d datasets.
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-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- 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_ratio: 0.1
- num_epochs: 2
Training results
Framework versions
- Transformers 4.57.1
- Pytorch 2.10.0+cu129
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Generation
- Library
- transformers
- Type
- gemma2
- License
- other
- Created
- May 28, 2026
- Updated
- May 28, 2026