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PolizzeDonut-XLSNuoveAnnot-3Epochs
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metadata
license: mit
base_model: tedad09/PolizzeDonut-SoloPDF-3Epochs
tags:
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: PolizzeDonut-XLSNuoveAnnot-3Epochs
    results: []

PolizzeDonut-XLSNuoveAnnot-3Epochs

This model is a fine-tuned version of tedad09/PolizzeDonut-SoloPDF-3Epochs on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3197

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: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.4804 1.0 26 0.4206
1.0571 2.0 52 0.3532
0.8079 3.0 78 0.3197

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2