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# detr-resnet50-leuk

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: 1.6961

## 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: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1222        | 1.0   | 121  | 2.3225          |
| 2.7011        | 2.0   | 242  | 2.0470          |
| 2.7217        | 3.0   | 363  | 2.1209          |
| 2.5204        | 4.0   | 484  | 2.0189          |
| 2.4531        | 5.0   | 605  | 1.9293          |
| 2.5448        | 6.0   | 726  | 2.1573          |
| 2.5266        | 7.0   | 847  | 1.9387          |
| 2.385         | 8.0   | 968  | 1.9430          |
| 2.3655        | 9.0   | 1089 | 1.9070          |
| 2.384         | 10.0  | 1210 | 1.8772          |
| 2.4173        | 11.0  | 1331 | 1.9408          |
| 2.4512        | 12.0  | 1452 | 1.9038          |
| 2.4599        | 13.0  | 1573 | 2.0496          |
| 2.382         | 14.0  | 1694 | 1.9044          |
| 2.3739        | 15.0  | 1815 | 1.8649          |
| 2.3066        | 16.0  | 1936 | 1.8339          |
| 2.2597        | 17.0  | 2057 | 1.7873          |
| 2.2254        | 18.0  | 2178 | 1.8041          |
| 2.2674        | 19.0  | 2299 | 1.7946          |
| 2.2109        | 20.0  | 2420 | 1.7831          |
| 2.2812        | 21.0  | 2541 | 1.8024          |
| 2.2648        | 22.0  | 2662 | 1.7854          |
| 2.2161        | 23.0  | 2783 | 1.7622          |
| 2.209         | 24.0  | 2904 | 1.7544          |
| 2.1905        | 25.0  | 3025 | 1.7473          |
| 2.2166        | 26.0  | 3146 | 1.7674          |
| 2.2108        | 27.0  | 3267 | 1.7445          |
| 2.1813        | 28.0  | 3388 | 1.7329          |
| 2.1679        | 29.0  | 3509 | 1.7286          |
| 2.1481        | 30.0  | 3630 | 1.7254          |
| 2.1713        | 31.0  | 3751 | 1.7368          |
| 2.1471        | 32.0  | 3872 | 1.7362          |
| 2.1537        | 33.0  | 3993 | 1.7281          |
| 2.1347        | 34.0  | 4114 | 1.7205          |
| 2.129         | 35.0  | 4235 | 1.7109          |
| 2.1215        | 36.0  | 4356 | 1.7227          |
| 2.1425        | 37.0  | 4477 | 1.7109          |
| 2.1106        | 38.0  | 4598 | 1.6993          |
| 2.0987        | 39.0  | 4719 | 1.6982          |
| 2.1259        | 40.0  | 4840 | 1.6961          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

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

detr-resnet50-leuk
==================


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: 1.6961


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: 40


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### 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: 40 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #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: 40 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3