metadata
library_name: transformers
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: Layoutlmv3InvoiceCzech
results: []
Layoutlmv3InvoiceCzech
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: 0.2146
- Precision: 0.5354
- Recall: 0.7428
- F1: 0.6223
- Accuracy: 0.9583
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 150 | 0.2817 | 0.1429 | 0.0829 | 0.1049 | 0.9470 |
| No log | 2.0 | 300 | 0.2222 | 0.3480 | 0.4822 | 0.4043 | 0.9480 |
| No log | 3.0 | 450 | 0.2170 | 0.3852 | 0.5736 | 0.4609 | 0.9480 |
| 0.5287 | 4.0 | 600 | 0.1919 | 0.4625 | 0.6261 | 0.5320 | 0.9558 |
| 0.5287 | 5.0 | 750 | 0.1701 | 0.5254 | 0.7174 | 0.6066 | 0.9627 |
| 0.5287 | 6.0 | 900 | 0.2060 | 0.5173 | 0.7327 | 0.6064 | 0.9565 |
| 0.0360 | 7.0 | 1050 | 0.2161 | 0.5370 | 0.7124 | 0.6124 | 0.9594 |
| 0.0360 | 8.0 | 1200 | 0.2146 | 0.5359 | 0.7445 | 0.6232 | 0.9584 |
| 0.0360 | 9.0 | 1350 | 0.2141 | 0.5268 | 0.7327 | 0.6129 | 0.9578 |
| 0.0147 | 10.0 | 1500 | 0.2131 | 0.5393 | 0.7310 | 0.6207 | 0.9597 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2