metadata

license: gemma
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: google/gemma-2b
datasets:
  - generator
model-index:
  - name: Gemma_medmcqa_question_generation-physiology_lora
    results: []

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