paligemma_ft_test / README.md
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metadata
license: gemma
base_model: google/paligemma-3b-pt-224
tags:
  - generated_from_trainer
model-index:
  - name: paligemma_ft_test
    results: []

paligemma_ft_test

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: 5e-06
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 256
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 3
  • num_epochs: 10

Training results

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Tokenizers 0.19.1