metadata

license: cc-by-nc-sa-4.0
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: layoutlmv3-finetuned-cord_100
    results: []

layoutlmv3-finetuned-cord_100

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: 0.2137
Precision: 0.9407
Recall: 0.9499
F1: 0.9453
Accuracy: 0.9546

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: 5
eval_batch_size: 5
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 2500

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.56	250	1.0177	0.7537	0.7994	0.7759	0.8120
1.3951	3.12	500	0.5566	0.8370	0.8645	0.8505	0.8731
1.3951	4.69	750	0.4020	0.8737	0.9012	0.8873	0.9104
0.3933	6.25	1000	0.3111	0.9182	0.9326	0.9254	0.9385
0.3933	7.81	1250	0.2657	0.9354	0.9424	0.9389	0.9465
0.2107	9.38	1500	0.2451	0.9241	0.9386	0.9313	0.9423
0.2107	10.94	1750	0.2393	0.9292	0.9424	0.9357	0.9474
0.1443	12.5	2000	0.2255	0.9298	0.9416	0.9357	0.9469
0.1443	14.06	2250	0.2159	0.9336	0.9476	0.9406	0.9542
0.1093	15.62	2500	0.2137	0.9407	0.9499	0.9453	0.9546

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Tokenizers 0.13.3