metadata
library_name: transformers
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: layoutlmv3_document_classification
results: []
layoutlmv3_document_classification
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: 1.4455
- Accuracy: 0.6845
- F1: 0.6680
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.0061 | 0.8547 | 100 | 1.5286 | 0.6867 | 0.6602 |
| 1.018 | 1.7094 | 200 | 1.5094 | 0.6760 | 0.6462 |
| 0.9833 | 2.5641 | 300 | 1.5595 | 0.6760 | 0.6528 |
| 0.9406 | 3.4188 | 400 | 1.5402 | 0.6695 | 0.6514 |
| 0.8942 | 4.2735 | 500 | 1.4455 | 0.6845 | 0.6680 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0