---
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: chickens
  results: []
---

<!-- 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. -->

# chickens

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: 0.2255

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 60

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3378        | 1.0   | 91   | 1.3023          |
| 1.1687        | 2.0   | 182  | 1.2356          |
| 1.1632        | 3.0   | 273  | 1.5895          |
| 1.1376        | 4.0   | 364  | 1.1306          |
| 1.1423        | 5.0   | 455  | 1.0930          |
| 1.1145        | 6.0   | 546  | 1.0959          |
| 1.0688        | 7.0   | 637  | 1.0771          |
| 1.023         | 8.0   | 728  | 1.0335          |
| 0.903         | 9.0   | 819  | 0.7363          |
| 0.7509        | 10.0  | 910  | 0.6334          |
| 0.6647        | 11.0  | 1001 | 0.5965          |
| 0.6905        | 12.0  | 1092 | 0.5033          |
| 0.6026        | 13.0  | 1183 | 0.6362          |
| 0.6277        | 14.0  | 1274 | 0.5105          |
| 0.6512        | 15.0  | 1365 | 0.8271          |
| 0.6475        | 16.0  | 1456 | 0.5431          |
| 0.6032        | 17.0  | 1547 | 0.5745          |
| 0.6074        | 18.0  | 1638 | 0.6850          |
| 0.6           | 19.0  | 1729 | 0.4973          |
| 0.4883        | 20.0  | 1820 | 0.4620          |
| 0.4947        | 21.0  | 1911 | 0.5086          |
| 0.5285        | 22.0  | 2002 | 0.5820          |
| 0.5418        | 23.0  | 2093 | 0.4808          |
| 0.5035        | 24.0  | 2184 | 0.4725          |
| 0.5704        | 25.0  | 2275 | 0.4552          |
| 0.5119        | 26.0  | 2366 | 0.4938          |
| 0.4257        | 27.0  | 2457 | 0.4098          |
| 0.4515        | 28.0  | 2548 | 0.4158          |
| 0.4187        | 29.0  | 2639 | 0.4161          |
| 0.4253        | 30.0  | 2730 | 0.3548          |
| 0.4064        | 31.0  | 2821 | 0.4722          |
| 0.4232        | 32.0  | 2912 | 0.3252          |
| 0.4159        | 33.0  | 3003 | 0.3488          |
| 0.3839        | 34.0  | 3094 | 0.2988          |
| 0.4048        | 35.0  | 3185 | 0.3541          |
| 0.4024        | 36.0  | 3276 | 0.3188          |
| 0.3765        | 37.0  | 3367 | 0.3627          |
| 0.4028        | 38.0  | 3458 | 0.3287          |
| 0.3795        | 39.0  | 3549 | 0.3447          |
| 0.3425        | 40.0  | 3640 | 0.2702          |
| 0.3646        | 41.0  | 3731 | 0.2913          |
| 0.3513        | 42.0  | 3822 | 0.2911          |
| 0.3461        | 43.0  | 3913 | 0.3127          |
| 0.357         | 44.0  | 4004 | 0.2962          |
| 0.3259        | 45.0  | 4095 | 0.2790          |
| 0.3224        | 46.0  | 4186 | 0.2586          |
| 0.3257        | 47.0  | 4277 | 0.2481          |
| 0.3024        | 48.0  | 4368 | 0.2562          |
| 0.2875        | 49.0  | 4459 | 0.2430          |
| 0.3044        | 50.0  | 4550 | 0.2334          |
| 0.2921        | 51.0  | 4641 | 0.2371          |
| 0.2843        | 52.0  | 4732 | 0.2218          |
| 0.2971        | 53.0  | 4823 | 0.2360          |
| 0.2789        | 54.0  | 4914 | 0.2430          |
| 0.2916        | 55.0  | 5005 | 0.2334          |
| 0.266         | 56.0  | 5096 | 0.2248          |
| 0.286         | 57.0  | 5187 | 0.2305          |
| 0.2759        | 58.0  | 5278 | 0.2234          |
| 0.2768        | 59.0  | 5369 | 0.2271          |
| 0.285         | 60.0  | 5460 | 0.2255          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.14.4
- Tokenizers 0.19.1