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# DeTr-TableDetection-3000-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: 0.3415
- Mean Iou: 0.0220

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3991        | 1.0   | 188  | 0.8030          | 0.0267   |
| 0.9905        | 2.0   | 376  | 0.9429          | 0.0262   |
| 0.6871        | 3.0   | 564  | 1.2024          | 0.0118   |
| 0.5837        | 4.0   | 752  | 0.5099          | 0.0202   |
| 0.527         | 5.0   | 940  | 0.4839          | 0.0204   |
| 0.4847        | 6.0   | 1128 | 0.4542          | 0.0179   |
| 0.4255        | 7.0   | 1316 | 0.4381          | 0.0227   |
| 0.3932        | 8.0   | 1504 | 0.4467          | 0.0243   |
| 0.3846        | 9.0   | 1692 | 0.3817          | 0.0247   |
| 0.3494        | 10.0  | 1880 | 0.4122          | 0.0261   |
| 0.3343        | 11.0  | 2068 | 0.3696          | 0.0249   |
| 0.324         | 12.0  | 2256 | 0.3683          | 0.0242   |
| 0.3159        | 13.0  | 2444 | 0.3713          | 0.0241   |
| 0.3079        | 14.0  | 2632 | 0.3563          | 0.0197   |
| 0.2909        | 15.0  | 2820 | 0.3530          | 0.0237   |
| 0.279         | 16.0  | 3008 | 0.3513          | 0.0229   |
| 0.2769        | 17.0  | 3196 | 0.3390          | 0.0211   |
| 0.2593        | 18.0  | 3384 | 0.3507          | 0.0238   |
| 0.2533        | 19.0  | 3572 | 0.3370          | 0.0231   |
| 0.2502        | 20.0  | 3760 | 0.3415          | 0.0220   |


### 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-3000-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-3000-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: 0.3415
* Mean Iou: 0.0220


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