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: layoutlmv3-finetuned-v6
results: []
layoutlmv3-finetuned-v6
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: 0.1889
- Precision: 0.9549
- Recall: 0.9322
- F1: 0.9434
- Accuracy: 0.9767
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: 4
- eval_batch_size: 4
- 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
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.3158 | 100 | 0.0637 | 0.9864 | 0.9864 | 0.9864 | 0.9831 |
| No log | 2.6316 | 200 | 0.1441 | 0.9613 | 0.9254 | 0.9430 | 0.9640 |
| No log | 3.9474 | 300 | 0.0723 | 0.9685 | 0.9390 | 0.9535 | 0.9682 |
| No log | 5.2632 | 400 | 0.1235 | 0.9414 | 0.9254 | 0.9333 | 0.9682 |
| 0.031 | 6.5789 | 500 | 0.1814 | 0.9685 | 0.9390 | 0.9535 | 0.9809 |
| 0.031 | 7.8947 | 600 | 0.1842 | 0.9549 | 0.9322 | 0.9434 | 0.9767 |
| 0.031 | 9.2105 | 700 | 0.1873 | 0.9549 | 0.9322 | 0.9434 | 0.9767 |
| 0.031 | 10.5263 | 800 | 0.1938 | 0.9549 | 0.9322 | 0.9434 | 0.9725 |
| 0.031 | 11.8421 | 900 | 0.1938 | 0.9549 | 0.9322 | 0.9434 | 0.9746 |
| 0.0003 | 13.1579 | 1000 | 0.1889 | 0.9549 | 0.9322 | 0.9434 | 0.9767 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0