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# detr-resnet-50-CD45RB-100

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: 1.6658

## 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1316        | 1.0   | 94   | 2.3431          |
| 2.812         | 2.0   | 188  | 2.2115          |
| 2.8118        | 3.0   | 282  | 1.9844          |
| 2.5555        | 4.0   | 376  | 1.9309          |
| 2.4803        | 5.0   | 470  | 1.8790          |
| 2.5099        | 6.0   | 564  | 2.0294          |
| 2.5365        | 7.0   | 658  | 1.8845          |
| 2.4593        | 8.0   | 752  | 1.8699          |
| 2.4248        | 9.0   | 846  | 1.7946          |
| 2.4017        | 10.0  | 940  | 1.7905          |
| 2.4523        | 11.0  | 1034 | 1.8319          |
| 2.4407        | 12.0  | 1128 | 1.8370          |
| 2.3727        | 13.0  | 1222 | 1.8001          |
| 2.317         | 14.0  | 1316 | 1.7492          |
| 2.3292        | 15.0  | 1410 | 1.7531          |
| 2.3086        | 16.0  | 1504 | 1.7637          |
| 2.3175        | 17.0  | 1598 | 1.7302          |
| 2.3002        | 18.0  | 1692 | 1.7216          |
| 2.2756        | 19.0  | 1786 | 1.7345          |
| 2.2656        | 20.0  | 1880 | 1.7225          |
| 2.3083        | 21.0  | 1974 | 1.7549          |
| 2.2542        | 22.0  | 2068 | 1.7175          |
| 2.2262        | 23.0  | 2162 | 1.6998          |
| 2.2644        | 24.0  | 2256 | 1.7020          |
| 2.2392        | 25.0  | 2350 | 1.6933          |
| 2.228         | 26.0  | 2444 | 1.7434          |
| 2.2284        | 27.0  | 2538 | 1.7070          |
| 2.2019        | 28.0  | 2632 | 1.6977          |
| 2.1804        | 29.0  | 2726 | 1.6867          |
| 2.1939        | 30.0  | 2820 | 1.6859          |
| 2.1863        | 31.0  | 2914 | 1.6802          |
| 2.2009        | 32.0  | 3008 | 1.6940          |
| 2.1894        | 33.0  | 3102 | 1.6720          |
| 2.1759        | 34.0  | 3196 | 1.6700          |
| 2.1575        | 35.0  | 3290 | 1.6713          |
| 2.1715        | 36.0  | 3384 | 1.7287          |
| 2.2125        | 37.0  | 3478 | 1.6994          |
| 2.2032        | 38.0  | 3572 | 1.6896          |
| 2.21          | 39.0  | 3666 | 1.6793          |
| 2.1837        | 40.0  | 3760 | 1.6747          |
| 2.2136        | 41.0  | 3854 | 1.6728          |
| 2.1825        | 42.0  | 3948 | 1.6641          |
| 2.1419        | 43.0  | 4042 | 1.6829          |
| 2.1695        | 44.0  | 4136 | 1.6625          |
| 2.1478        | 45.0  | 4230 | 1.6680          |
| 2.1464        | 46.0  | 4324 | 1.6795          |
| 2.1809        | 47.0  | 4418 | 1.6775          |
| 2.174         | 48.0  | 4512 | 1.6668          |
| 2.1391        | 49.0  | 4606 | 1.6559          |
| 2.1466        | 50.0  | 4700 | 1.6658          |


### 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-100", "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-100
=========================


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: 1.6658


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: 50


### 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: 50 ### 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: 50 ### 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: 50### Training results### Framework versions


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