| license: cc-by-nc-sa-4.0 | |
| base_model: microsoft/layoutlmv3-base | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - cord-layoutlmv3 | |
| model-index: | |
| - name: layoutlmv3-finetuned-cord_100 | |
| 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-finetuned-cord_100 | |
| This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the cord-layoutlmv3 dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 1.0986 | |
| - eval_precision: 0.6521 | |
| - eval_recall: 0.7365 | |
| - eval_f1: 0.6917 | |
| - eval_accuracy: 0.7593 | |
| - eval_runtime: 182.1992 | |
| - eval_samples_per_second: 0.549 | |
| - eval_steps_per_second: 0.11 | |
| - epoch: 1.56 | |
| - step: 250 | |
| ## 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: 5 | |
| - eval_batch_size: 5 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - training_steps: 2500 | |
| ### Framework versions | |
| - Transformers 4.32.1 | |
| - Pytorch 2.1.1+cu118 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.13.2 | |