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paligemma_VQAv2_ko

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metadata
base_model: google/paligemma-3b-pt-224
library_name: peft
license: gemma
tags:
  - generated_from_trainer
model-index:
  - name: paligemma_VQAv2_ko_v1
    results: []

paligemma_VQAv2_ko_v1

This model is a fine-tuned version of google/paligemma-3b-pt-224 on an unknown 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: 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: 2

Framework versions

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