---
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
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# 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