| --- |
| library_name: transformers |
| license: cc-by-nc-sa-4.0 |
| base_model: microsoft/layoutlmv3-base |
| tags: |
| - generated_from_trainer |
| datasets: |
| - doc_lay_net-small |
| metrics: |
| - precision |
| - recall |
| - f1 |
| - accuracy |
| model-index: |
| - name: LayoutLMv3-DocLayNet-small |
| results: |
| - task: |
| name: Token Classification |
| type: token-classification |
| dataset: |
| name: doc_lay_net-small |
| type: doc_lay_net-small |
| config: DocLayNet_2022.08_processed_on_2023.01 |
| split: validation |
| args: DocLayNet_2022.08_processed_on_2023.01 |
| metrics: |
| - name: Precision |
| type: precision |
| value: 0.12834224598930483 |
| - name: Recall |
| type: recall |
| value: 0.0759493670886076 |
| - name: F1 |
| type: f1 |
| value: 0.09542743538767395 |
| - name: Accuracy |
| type: accuracy |
| value: 0.6476804585348379 |
| --- |
| |
| <!-- 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-DocLayNet-small |
|
|
| This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the doc_lay_net-small dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.2781 |
| - Precision: 0.1283 |
| - Recall: 0.0759 |
| - F1: 0.0954 |
| - Accuracy: 0.6477 |
|
|
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 4 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 256 |
| - total_eval_batch_size: 16 |
| - 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 |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 3.0 |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.51.3 |
| - Pytorch 2.4.1 |
| - Datasets 3.5.1 |
| - Tokenizers 0.21.1 |
| |
