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paligemma_vqav2

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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
    results: []

paligemma_vqav2

This model is a fine-tuned version of google/paligemma-3b-pt-224 on the None 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: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2
  • num_epochs: 3

Training results

Framework versions

  • PEFT 0.11.1
  • Transformers 4.43.0.dev0
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1