| | --- |
| | license: cc-by-nc-sa-4.0 |
| | base_model: microsoft/layoutlmv3-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - precision |
| | - recall |
| | - f1 |
| | - accuracy |
| | model-index: |
| | - name: test |
| | 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. --> |
| |
|
| | # test |
| |
|
| | 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: 0.2843 |
| | - Precision: 0.4118 |
| | - Recall: 0.8235 |
| | - F1: 0.5490 |
| | - Accuracy: 0.9485 |
| |
|
| | ## 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: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - training_steps: 1000 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | | No log | 8.33 | 100 | 0.6271 | 0.1864 | 0.6471 | 0.2895 | 0.8757 | |
| | | No log | 16.67 | 200 | 0.1736 | 0.52 | 0.7647 | 0.6190 | 0.9734 | |
| | | No log | 25.0 | 300 | 0.1302 | 0.5714 | 0.9412 | 0.7111 | 0.9734 | |
| | | No log | 33.33 | 400 | 0.2835 | 0.5333 | 0.9412 | 0.6809 | 0.9556 | |
| | | 0.287 | 41.67 | 500 | 0.0924 | 0.4828 | 0.8235 | 0.6087 | 0.9805 | |
| | | 0.287 | 50.0 | 600 | 0.2594 | 0.4412 | 0.8824 | 0.5882 | 0.9485 | |
| | | 0.287 | 58.33 | 700 | 0.3172 | 0.4412 | 0.8824 | 0.5882 | 0.9467 | |
| | | 0.287 | 66.67 | 800 | 0.2447 | 0.4545 | 0.8824 | 0.6 | 0.9520 | |
| | | 0.287 | 75.0 | 900 | 0.2941 | 0.4118 | 0.8235 | 0.5490 | 0.9485 | |
| | | 0.013 | 83.33 | 1000 | 0.2843 | 0.4118 | 0.8235 | 0.5490 | 0.9485 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.0.dev0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.13.3 |
| |
|
