layoutlmv2-document-classifier

This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0008
• Accuracy: 1.0

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7722	0.0970	26	0.2249	0.9216
0.0828	0.1940	52	0.0452	0.9907
0.026	0.2910	78	0.0459	0.9907
0.0265	0.3881	104	0.0267	0.9907
0.0263	0.4851	130	0.0068	1.0
0.008	0.5821	156	0.0026	1.0
0.0023	0.6791	182	0.0014	1.0
0.0014	0.7761	208	0.0009	1.0
0.0011	0.8731	234	0.0008	1.0
0.0012	0.9701	260	0.0008	1.0

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1