
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# detr-resnet-50-CD45RB-1000-att

This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7065

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4338        | 1.0   | 94   | 2.4137          |
| 2.9565        | 2.0   | 188  | 2.1738          |
| 2.7101        | 3.0   | 282  | 2.0122          |
| 2.7515        | 4.0   | 376  | 1.9646          |
| 2.724         | 5.0   | 470  | 2.1284          |
| 2.6193        | 6.0   | 564  | 1.9380          |
| 2.5032        | 7.0   | 658  | 1.9286          |
| 2.5342        | 8.0   | 752  | 1.9366          |
| 2.5519        | 9.0   | 846  | 1.9736          |
| 2.4988        | 10.0  | 940  | 1.8816          |
| 2.5101        | 11.0  | 1034 | 1.8454          |
| 2.4441        | 12.0  | 1128 | 1.8143          |
| 2.3857        | 13.0  | 1222 | 1.7919          |
| 2.2877        | 14.0  | 1316 | 1.7400          |
| 2.3013        | 15.0  | 1410 | 1.7409          |
| 2.3134        | 16.0  | 1504 | 1.7698          |
| 2.3423        | 17.0  | 1598 | 1.7581          |
| 2.3536        | 18.0  | 1692 | 1.7658          |
| 2.2957        | 19.0  | 1786 | 1.7329          |
| 2.274         | 20.0  | 1880 | 1.7335          |
| 2.2906        | 21.0  | 1974 | 1.7343          |
| 2.2492        | 22.0  | 2068 | 1.7080          |
| 2.2516        | 23.0  | 2162 | 1.7180          |
| 2.2574        | 24.0  | 2256 | 1.7081          |
| 2.2508        | 25.0  | 2350 | 1.7065          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "detr-resnet-50-CD45RB-1000-att", "results": []}]}
transformers pytorch tensorboard detr object-detection generated_from_trainer license:apache-2.0 endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tensorboard #detr #object-detection #generated_from_trainer #license-apache-2.0 #endpoints_compatible #has_space #region-us 

detr-resnet-50-CD45RB-1000-att
==============================


This model is a fine-tuned version of facebook/detr-resnet-50 on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.7065


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: 0.0001
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 25


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 25 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #detr #object-detection #generated_from_trainer #license-apache-2.0 #endpoints_compatible #has_space #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 25 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #detr #object-detection #generated_from_trainer #license-apache-2.0 #endpoints_compatible #has_space #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 25### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.0
* Tokenizers 0.13.2