layoutlmv3-funsd-keyvalue-extraction

This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 5.1346

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: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 16
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss
6.3272 1.0 10 6.2929
6.2117 2.0 20 6.1684
6.083 3.0 30 5.9776
5.9712 4.0 40 5.7739
5.7704 5.0 50 5.6123
5.597 6.0 60 5.4913
5.4805 7.0 70 5.4021
5.548 8.0 80 5.3383
5.4142 9.0 90 5.2978
5.163 10.0 100 5.2663
5.161 11.0 110 5.2438
5.2217 12.0 120 5.2210
5.2866 13.0 130 5.2048
5.1409 14.0 140 5.1926
5.1753 15.0 150 5.1884
5.0544 16.0 160 5.1815
5.1672 17.0 170 5.1789
5.0112 18.0 180 5.1745
5.1808 19.0 190 5.1683
4.9891 20.0 200 5.1588
4.8935 21.0 210 5.1518
5.1338 22.0 220 5.1462
5.1518 23.0 230 5.1422
5.0453 24.0 240 5.1391
5.0792 25.0 250 5.1357
4.9074 26.0 260 5.1357
5.1327 27.0 270 5.1354
4.9889 28.0 280 5.1349
5.1229 29.0 290 5.1347
5.0974 30.0 300 5.1346

Framework versions

  • PEFT 0.17.1
  • Transformers 4.57.1
  • Pytorch 2.8.0+cu126
  • Datasets 4.3.0
  • Tokenizers 0.22.1
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