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gemma-2-2b-InfoRAG
chengyili2005/gemma-2-2b-InfoRAG
gemma-2-2b-InfoRAG is a text generation model from chengyili2005. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- gemma
- Access
- Public
- Created
- Feb 25, 2026
- Updated
- Feb 27, 2026
- SHA
- 564f9feb
Try a prompt
Base models
Datasets
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. -->
gemma-2-2b InfoRag - Chengyi Li
This model is a fine-tuned version of unsloth/gemma-2-2b on the psgs_w100 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: 0
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
Training results
Framework versions
- PEFT 0.18.1
- Transformers 4.57.6
- Pytorch 2.10.0+cu128
- Datasets 4.3.0
- Tokenizers 0.22.2
- Task
- Text Generation
- Library
- peft
- License
- gemma
- Languages
- en
- Created
- Feb 25, 2026
- Updated
- Feb 27, 2026