metadata
library_name: transformers
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv2-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: layoutlmv2-document-classifier
results: []
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