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# detr-r50-cd45rb-all-4ah-learned

This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the cd45rb dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6174

## 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: 1e-05
- 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.3714        | 1.0   | 2303  | 1.8496          |
| 2.1897        | 2.0   | 4606  | 1.7683          |
| 2.1158        | 3.0   | 6909  | 1.7291          |
| 2.094         | 4.0   | 9212  | 1.7164          |
| 2.0641        | 5.0   | 11515 | 1.6844          |
| 2.0412        | 6.0   | 13818 | 1.6850          |
| 2.02          | 7.0   | 16121 | 1.6659          |
| 2.0152        | 8.0   | 18424 | 1.6612          |
| 2.0025        | 9.0   | 20727 | 1.6457          |
| 1.9883        | 10.0  | 23030 | 1.6432          |
| 2.0007        | 11.0  | 25333 | 1.6537          |
| 1.9995        | 12.0  | 27636 | 1.6644          |
| 1.9892        | 13.0  | 29939 | 1.6488          |
| 1.9875        | 14.0  | 32242 | 1.6492          |
| 1.9722        | 15.0  | 34545 | 1.6327          |
| 1.969         | 16.0  | 36848 | 1.6258          |
| 1.9571        | 17.0  | 39151 | 1.6252          |
| 1.9524        | 18.0  | 41454 | 1.6218          |
| 1.9415        | 19.0  | 43757 | 1.6195          |
| 1.9433        | 20.0  | 46060 | 1.6174          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["cd45rb"], "model-index": [{"name": "detr-r50-cd45rb-all-4ah-learned", "results": []}]}
transformers pytorch detr object-detection generated_from_trainer dataset:cd45rb license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #detr #object-detection #generated_from_trainer #dataset-cd45rb #license-apache-2.0 #endpoints_compatible #region-us 

detr-r50-cd45rb-all-4ah-learned
===============================


This model is a fine-tuned version of facebook/detr-resnet-50 on the cd45rb dataset.
It achieves the following results on the evaluation set:


* Loss: 1.6174


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: 1e-05
* 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: 20
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.1
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* 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: 20
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.1
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #detr #object-detection #generated_from_trainer #dataset-cd45rb #license-apache-2.0 #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* 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: 20
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.1
* Datasets 2.12.0
* Tokenizers 0.13.3