layoutlmv2-base-uncased-finetuned-docvqa

This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1940

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: 250500
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
1.463 0.27 1000 1.6272
0.9447 0.53 2000 1.3646
0.7725 0.8 3000 1.2560
0.5762 1.06 4000 1.3582
0.4382 1.33 5000 1.2490
0.4515 1.59 6000 1.1860
0.383 1.86 7000 1.1940

Framework versions

  • Transformers 4.12.2
  • Pytorch 1.8.0+cu101
  • Datasets 1.14.0
  • Tokenizers 0.10.3
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Select AutoNLP in the “Train” menu to fine-tune this model automatically.

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