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# DeTr-TableDetection-1000-images

This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the table_detection_light dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5143
- Mean Iou: 0.0242

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mean Iou |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 63   | 0.8696          | 0.0215   |
| 0.9227        | 2.0   | 126  | 0.7547          | 0.0245   |
| 0.9227        | 3.0   | 189  | 0.7170          | 0.0211   |
| 0.6775        | 4.0   | 252  | 0.8319          | 0.0222   |
| 0.6801        | 5.0   | 315  | 0.6943          | 0.0212   |
| 0.6801        | 6.0   | 378  | 0.6622          | 0.0252   |
| 0.604         | 7.0   | 441  | 0.6043          | 0.0234   |
| 0.5467        | 8.0   | 504  | 0.7404          | 0.0249   |
| 0.5467        | 9.0   | 567  | 0.6755          | 0.0242   |
| 0.4347        | 10.0  | 630  | 0.5507          | 0.0232   |
| 0.4347        | 11.0  | 693  | 0.6633          | 0.0277   |
| 0.4202        | 12.0  | 756  | 0.5941          | 0.0256   |
| 0.3508        | 13.0  | 819  | 0.5387          | 0.0238   |
| 0.3508        | 14.0  | 882  | 0.5381          | 0.0256   |
| 0.3223        | 15.0  | 945  | 0.5646          | 0.0254   |
| 0.3058        | 16.0  | 1008 | 0.5460          | 0.0213   |
| 0.3058        | 17.0  | 1071 | 0.5589          | 0.0264   |
| 0.2861        | 18.0  | 1134 | 0.5423          | 0.0257   |
| 0.2861        | 19.0  | 1197 | 0.5207          | 0.0248   |
| 0.2705        | 20.0  | 1260 | 0.5143          | 0.0242   |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu117
- Datasets 2.5.1
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["table_detection_light"], "model-index": [{"name": "DeTr-TableDetection-1000-images", "results": []}]}
transformers pytorch tensorboard detr object-detection generated_from_trainer dataset:table_detection_light license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #detr #object-detection #generated_from_trainer #dataset-table_detection_light #license-apache-2.0 #endpoints_compatible #region-us 

DeTr-TableDetection-1000-images
===============================


This model is a fine-tuned version of facebook/detr-resnet-50 on the table\_detection\_light dataset.
It achieves the following results on the evaluation set:


* Loss: 0.5143
* Mean Iou: 0.0242


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: 5e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20


### Training results



### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu117
* Datasets 2.5.1
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20 ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu117
* Datasets 2.5.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #detr #object-detection #generated_from_trainer #dataset-table_detection_light #license-apache-2.0 #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20 ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu117
* Datasets 2.5.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #detr #object-detection #generated_from_trainer #dataset-table_detection_light #license-apache-2.0 #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20### Training results### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu117
* Datasets 2.5.1
* Tokenizers 0.13.2