| license: mit | |
| base_model: microsoft/table-transformer-detection | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: margin-element-detector-fm-stilted-surf-9 | |
| 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. --> | |
| # margin-element-detector-fm-stilted-surf-9 | |
| This model is a fine-tuned version of [microsoft/table-transformer-detection](https://huggingface.co/microsoft/table-transformer-detection) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 1.4665 | |
| - eval_loss_ce: 0.2389 | |
| - eval_loss_bbox: 0.0545 | |
| - eval_cardinality_error: 1.4690 | |
| - eval_giou: 52.2560 | |
| - eval_runtime: 60.1105 | |
| - eval_samples_per_second: 16.636 | |
| - eval_steps_per_second: 4.159 | |
| - epoch: 2.0 | |
| - step: 5000 | |
| ## 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: 0.0001 | |
| - 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 | |
| - num_epochs: 20 | |
| ### Framework versions | |
| - Transformers 4.33.2 | |
| - Pytorch 2.1.0+cu118 | |
| - Datasets 2.14.6 | |
| - Tokenizers 0.13.3 | |