metadata
library_name: transformers
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv2-base-uncased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv2_output
results: []
layoutlmv2_output
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: 0.3471
- Precision: 0.8712
- Recall: 0.8742
- F1: 0.8727
- Accuracy: 0.9288
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: 2
- eval_batch_size: 2
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.3415 | 0.8772 | 500 | 0.4834 | 0.8227 | 0.8343 | 0.8285 | 0.8966 |
| 0.228 | 1.7544 | 1000 | 0.3607 | 0.8591 | 0.8528 | 0.8559 | 0.9170 |
| 0.1769 | 2.6316 | 1500 | 0.3408 | 0.8571 | 0.8556 | 0.8563 | 0.9208 |
| 0.1183 | 3.5088 | 2000 | 0.3570 | 0.8661 | 0.8579 | 0.8620 | 0.9208 |
| 0.0915 | 4.3860 | 2500 | 0.3603 | 0.8644 | 0.8702 | 0.8673 | 0.9256 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1