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End of training
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metadata
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: layoutmlv3_thursday_sep7_v5
    results: []

layoutmlv3_thursday_sep7_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: 0.1416
  • Precision: 0.5517
  • Recall: 0.9412
  • F1: 0.6957
  • Accuracy: 0.9822

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 0.3243 0.5556 0.8824 0.6818 0.9485
No log 16.67 200 0.1584 0.6087 0.8235 0.7 0.9734
No log 25.0 300 0.1682 0.5517 0.9412 0.6957 0.9769
No log 33.33 400 0.1773 0.4545 0.8824 0.6 0.9734
0.2633 41.67 500 0.1631 0.4375 0.8235 0.5714 0.9751
0.2633 50.0 600 0.1526 0.5517 0.9412 0.6957 0.9769
0.2633 58.33 700 0.1430 0.5517 0.9412 0.6957 0.9840
0.2633 66.67 800 0.1497 0.5517 0.9412 0.6957 0.9822
0.2633 75.0 900 0.1418 0.5517 0.9412 0.6957 0.9805
0.0111 83.33 1000 0.1416 0.5517 0.9412 0.6957 0.9822

Framework versions

  • Transformers 4.34.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3