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Gemma_medmcqa_question_generation-biochemistry_lora – AI Model by emilykang | AlphaNeural AI
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emilykang
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Gemma_medmcqa_question_generation-biochemistry_lora
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peft
safetensors
gemma
trl
sft
generated_from_trainer
generator
google/gemma-2b
adapter
gemma
us
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Gemma_medmcqa_question_generation-biochemistry_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
