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# detr-resnet50-cd45rb

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: 2.7418

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.8886        | 1.0   | 242  | 2.8754          |
| 3.6406        | 2.0   | 484  | 2.7956          |
| 3.6109        | 3.0   | 726  | 2.8412          |
| 3.5724        | 4.0   | 968  | 2.7906          |
| 3.5492        | 5.0   | 1210 | 2.7473          |
| 3.5595        | 6.0   | 1452 | 2.7594          |
| 3.5249        | 7.0   | 1694 | 2.7396          |
| 3.524         | 8.0   | 1936 | 2.7562          |
| 3.4908        | 9.0   | 2178 | 2.7345          |
| 3.5149        | 10.0  | 2420 | 2.7418          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.10.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "detr-resnet50-cd45rb", "results": []}]}
transformers pytorch detr object-detection generated_from_trainer license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #detr #object-detection #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 

detr-resnet50-cd45rb
====================


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: 2.7418


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: 4
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0
* Datasets 2.10.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 4
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0
* Datasets 2.10.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #detr #object-detection #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 4
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0
* Datasets 2.10.0
* Tokenizers 0.13.2