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# DeTr-TableDetection-5000-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: 0.3184
- Mean Iou: 0.0234

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.741         | 1.0   | 313  | 0.7054          | 0.0259   |
| 0.5559        | 2.0   | 626  | 0.5159          | 0.0231   |
| 0.4213        | 3.0   | 939  | 0.4154          | 0.0254   |
| 0.4374        | 4.0   | 1252 | 0.4072          | 0.0249   |
| 0.3884        | 5.0   | 1565 | 0.4454          | 0.0232   |
| 0.4057        | 6.0   | 1878 | 0.4251          | 0.0249   |
| 0.3511        | 7.0   | 2191 | 0.3882          | 0.0239   |
| 0.3463        | 8.0   | 2504 | 0.3766          | 0.0243   |
| 0.3346        | 9.0   | 2817 | 0.4142          | 0.0236   |
| 0.3183        | 10.0  | 3130 | 0.3804          | 0.0242   |
| 0.3049        | 11.0  | 3443 | 0.3642          | 0.0244   |
| 0.2942        | 12.0  | 3756 | 0.3541          | 0.0253   |
| 0.2836        | 13.0  | 4069 | 0.3359          | 0.0252   |
| 0.2738        | 14.0  | 4382 | 0.3338          | 0.0254   |
| 0.2629        | 15.0  | 4695 | 0.3318          | 0.0267   |
| 0.2591        | 16.0  | 5008 | 0.3311          | 0.0224   |
| 0.2457        | 17.0  | 5321 | 0.3317          | 0.0234   |
| 0.2406        | 18.0  | 5634 | 0.3219          | 0.0238   |
| 0.2383        | 19.0  | 5947 | 0.3143          | 0.0238   |
| 0.2229        | 20.0  | 6260 | 0.3184          | 0.0234   |


### 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-5000-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-5000-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: 0.3184
* Mean Iou: 0.0234


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