hmart824's picture
hmart824/layoutlmv3-finetuned_invoices-2
8532684 verified
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: layoutlmv3-finetuned_invoices-4
    results: []

layoutlmv3-finetuned_invoices-4

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: 1.2901
  • Precision: 0.4049
  • Recall: 0.3689
  • F1: 0.3331
  • Accuracy: 0.8203

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: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 1.0 4 1.4449 0.2657 0.4611 0.2675 0.8203
No log 2.0 8 1.4145 0.2610 0.4447 0.2472 0.7578
1.2588 3.0 12 1.3297 0.3043 0.3672 0.2979 0.8125
1.2588 4.0 16 1.2901 0.4049 0.3689 0.3331 0.8203
0.7717 5.0 20 1.2617 0.4048 0.3639 0.3279 0.7969

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.3.1+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1