metadata

base_model: google/paligemma-3b-pt-224
library_name: peft
license: gemma
tags:
  - generated_from_trainer
model-index:
  - name: paligemma_VQAv2_ko_v0
    results: []
pipeline_tag: visual-question-answering
datasets:
  - HuggingFaceM4/VQAv2
language:
  - ko
  - en

paligemma_VQAv2_ko_v0

This model is a fine-tuned version of google/paligemma-3b-pt-224 on an unknown dataset.

Model description

This model was finetuned using VQAv2 datasets translated into KOREAN.

Intended uses & limitations

Nothing

Training and evaluation data

Nothing

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
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: linear
lr_scheduler_warmup_steps: 2
num_epochs: 1

Training results

Framework versions

PEFT 0.8.2
Transformers 4.45.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.21.0
Tokenizers 0.19.1