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Gemma_medquad-research_lora – AI Model by emilykang | AlphaNeural AI

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emilykang/
Gemma_medquad-research_lora

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google/gemma-2b

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Gemma_medquad-research_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 2.0.1+cu117
Datasets 2.19.0
Tokenizers 0.19.1