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layoutlmv3_document_classification

Text Classification
Transformers
Safetensors
layoutlmv3
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layoutlmv3_document_classification / README.md
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metadata
library_name: transformers
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
tags:
  - generated_from_trainer
model-index:
  - name: layoutlmv3_document_classification
    results: []

layoutlmv3_document_classification

This model is a fine-tuned version of microsoft/layoutlmv3-base on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 1.5337
  • eval_accuracy: 0.7178
  • eval_f1: 0.6969
  • eval_runtime: 21.1856
  • eval_samples_per_second: 21.241
  • eval_steps_per_second: 1.369
  • epoch: 4.4248
  • step: 500

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: 1e-06
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH 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: 500
  • num_epochs: 10

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0