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# table-transformer-olive-gorge-40

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: 0.7011

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3888        | 1.0   | 25   | 0.7673          |
| 0.3415        | 2.0   | 50   | 0.7435          |
| 0.3144        | 3.0   | 75   | 0.7256          |
| 0.2934        | 4.0   | 100  | 0.7558          |
| 0.2823        | 5.0   | 125  | 0.7144          |
| 0.2687        | 6.0   | 150  | 0.7376          |
| 0.2504        | 7.0   | 175  | 0.7072          |
| 0.2342        | 8.0   | 200  | 0.7091          |
| 0.2391        | 9.0   | 225  | 0.7001          |
| 0.244         | 10.0  | 250  | 0.7011          |


### 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-olive-gorge-40", "results": []}]}
transformers pytorch table-transformer object-detection generated_from_trainer base_model:microsoft/table-transformer-detection license:mit endpoints_compatible region:us