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paligemma_ocr_final

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metadata
library_name: peft
license: gemma
base_model: google/paligemma-3b-ft-ocrvqa-448
tags:
  - generated_from_trainer
model-index:
  - name: paligemma_ocr_final
    results: []

paligemma_ocr_final

This model is a fine-tuned version of google/paligemma-3b-ft-ocrvqa-448 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4477

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: 4e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 4
  • optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
0.4176 1.0000 10099 0.4477

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.2
  • Pytorch 2.1.2.post304
  • Datasets 3.1.0
  • Tokenizers 0.20.3