| license: cc-by-nc-sa-4.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - wildreceipt | |
| model-index: | |
| - name: layoutlmv3-finetuned-wildreceipt | |
| 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-wildreceipt | |
| This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the wildreceipt dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.2996 | |
| - eval_precision: 0.8566 | |
| - eval_recall: 0.8614 | |
| - eval_f1: 0.8590 | |
| - eval_accuracy: 0.9178 | |
| - eval_runtime: 51.7898 | |
| - eval_samples_per_second: 9.114 | |
| - eval_steps_per_second: 2.278 | |
| - epoch: 4.97 | |
| - step: 1577 | |
| ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - training_steps: 4000 | |
| ### Framework versions | |
| - Transformers 4.22.0.dev0 | |
| - Pytorch 1.12.1+cu113 | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.12.1 | |