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StKirill/layoutlmv2-base-uncased_finetuned_docvqa_v2

sourceHugging Facecc-by-nc-sa-4.0updated 3y agoView on Hugging Face
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Model Card

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layoutlmv2-base-uncasedfinetuneddocvqa_v2

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: 2.4977

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
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
5.13160.44504.3296
4.30710.881003.9311
3.85451.331503.7061
3.65781.772003.5642
3.25062.212503.3789
2.99912.653003.1969
2.78933.13503.2842
2.39753.544002.8765
2.11883.984503.0513
1.94054.425002.6575
1.71234.875502.8113
1.63615.316002.6848
1.54255.756502.7986
1.28716.197002.9508
1.11326.647502.7070
1.11057.088002.6293
0.88557.528502.9005
0.94277.969002.4977
0.83598.419502.7100
0.70388.8510002.8090
0.70689.2910502.8265
0.70379.7311002.8136

Framework versions

  • —Transformers 4.35.0
  • —Pytorch 2.1.0+cu118
  • —Datasets 2.14.6
  • —Tokenizers 0.14.1