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Gemma_medmcqa_question_generation-physiology_lora
emilykang/Gemma_medmcqa_question_generation-physiology_lora
Gemma_medmcqa_question_generation-physiology_lora is a machine learning model from emilykang. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- peft
- License
- gemma
- Model type
- gemma
- Access
- Public
- Created
- May 18, 2024
- Updated
- May 18, 2024
- SHA
- e9062072
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_medmcqa_question_generation-physiology_lora
This model is a fine-tuned version of google/gemma-2b on the generator 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10
Training results
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- peft
- Type
- gemma
- License
- gemma
- Created
- May 18, 2024
- Updated
- May 18, 2024