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# table-transformer-misty-meadow-38

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:
- Loss: 0.3779

## 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: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3376        | 0.8   | 100  | 0.4536          |
| 0.3191        | 1.6   | 200  | 0.4579          |
| 0.2899        | 2.4   | 300  | 0.4061          |
| 0.2412        | 3.2   | 400  | 0.3805          |
| 0.2469        | 4.0   | 500  | 0.3744          |
| 0.2253        | 4.8   | 600  | 0.3709          |
| 0.2157        | 5.6   | 700  | 0.3875          |
| 0.1969        | 6.4   | 800  | 0.4036          |
| 0.2018        | 7.2   | 900  | 0.3744          |
| 0.1853        | 8.0   | 1000 | 0.3824          |
| 0.1745        | 8.8   | 1100 | 0.3818          |
| 0.1776        | 9.6   | 1200 | 0.3779          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/table-transformer-detection", "model-index": [{"name": "table-transformer-misty-meadow-38", "results": []}]}
transformers pytorch table-transformer object-detection generated_from_trainer base_model:microsoft/table-transformer-detection license:mit endpoints_compatible region:us