layoutmlv3_sunday_sep3_v5

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

  • Loss: 0.1630
  • Precision: 0.6867
  • Recall: 0.7308
  • F1: 0.7081
  • Accuracy: 0.9570

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-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 1000

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 8.33 100 0.5150 0.5139 0.4744 0.4933 0.8460
No log 16.67 200 0.2462 0.5053 0.6154 0.5549 0.9387
No log 25.0 300 0.1973 0.6471 0.7051 0.6748 0.9536
No log 33.33 400 0.1617 0.6667 0.7179 0.6914 0.9520
0.3718 41.67 500 0.1630 0.6867 0.7308 0.7081 0.9570
0.3718 50.0 600 0.2247 0.5106 0.6154 0.5581 0.9073
0.3718 58.33 700 0.3364 0.5393 0.6154 0.5749 0.8907
0.3718 66.67 800 0.1783 0.5435 0.6410 0.5882 0.9454
0.3718 75.0 900 0.2255 0.5263 0.6410 0.5780 0.9305
0.0196 83.33 1000 0.2781 0.5158 0.6282 0.5665 0.9123

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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