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 the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6825
- Accuracy: 0.8626
- F1: 0.8556
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: 3e-05
- train_batch_size: 24
- eval_batch_size: 24
- 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
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6422 | 0.4983 | 150 | 0.8329 | 0.8127 | 0.7921 |
| 0.6726 | 0.9967 | 300 | 0.7887 | 0.8310 | 0.8159 |
| 0.5329 | 1.4950 | 450 | 0.7981 | 0.8183 | 0.8055 |
| 0.5147 | 1.9934 | 600 | 0.7746 | 0.8360 | 0.8273 |
| 0.4119 | 2.4917 | 750 | 0.7384 | 0.8438 | 0.8329 |
| 0.4011 | 2.9900 | 900 | 0.7318 | 0.8465 | 0.8392 |
| 0.3469 | 3.4884 | 1050 | 0.7317 | 0.8488 | 0.8412 |
| 0.3148 | 3.9867 | 1200 | 0.7218 | 0.8548 | 0.8472 |
| 0.2974 | 4.4850 | 1350 | 0.6903 | 0.8620 | 0.8559 |
| 0.297 | 4.9834 | 1500 | 0.6825 | 0.8626 | 0.8556 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0