metadata

tags:
  - generated_from_trainer
datasets:
  - funsd
pipeline_tag: object-detection
widget:
  - src: >-
      https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png
    example_title: invoice
  - src: >-
      https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/contract.jpeg
    example_title: contract
model_index:
  - name: layoutlmv2-finetuned-funsd
    results:
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          name: funsd
          type: funsd
          args: funsd
duplicated_from: nielsr/layoutlmv2-finetuned-funsd

layoutlmv2-finetuned-funsd

This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on the funsd 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-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.9.0.dev0
Pytorch 1.8.0+cu101
Datasets 1.9.0
Tokenizers 0.10.3