| | --- |
| | license: cc-by-nc-sa-4.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - precision |
| | - recall |
| | - f1 |
| | - accuracy |
| | model-index: |
| | - name: layoutlmv3-final-v1 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # layoutlmv3-final-v1 |
| |
|
| | This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0822 |
| | - Precision: 0.9789 |
| | - Recall: 0.9839 |
| | - F1: 0.9814 |
| | - Accuracy: 0.9852 |
| |
|
| | ## 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: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - training_steps: 1000 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | | No log | 2.56 | 100 | 1.7056 | 0.4839 | 0.5464 | 0.5133 | 0.6494 | |
| | | No log | 5.13 | 200 | 0.4856 | 0.8255 | 0.8821 | 0.8528 | 0.9217 | |
| | | No log | 7.69 | 300 | 0.2319 | 0.9027 | 0.9355 | 0.9188 | 0.9575 | |
| | | No log | 10.26 | 400 | 0.1437 | 0.9652 | 0.9778 | 0.9715 | 0.9800 | |
| | | 0.9248 | 12.82 | 500 | 0.1204 | 0.967 | 0.9748 | 0.9709 | 0.9770 | |
| | | 0.9248 | 15.38 | 600 | 0.1025 | 0.9711 | 0.9808 | 0.9759 | 0.9790 | |
| | | 0.9248 | 17.95 | 700 | 0.0971 | 0.9789 | 0.9829 | 0.9809 | 0.9826 | |
| | | 0.9248 | 20.51 | 800 | 0.0885 | 0.9819 | 0.9849 | 0.9834 | 0.9846 | |
| | | 0.9248 | 23.08 | 900 | 0.0858 | 0.9789 | 0.9839 | 0.9814 | 0.9857 | |
| | | 0.0697 | 25.64 | 1000 | 0.0822 | 0.9789 | 0.9839 | 0.9814 | 0.9852 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.30.0.dev0 |
| | - Pytorch 1.8.0+cu101 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| | |
