---
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: 0.2325

## 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: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 13   | 1.1435          |
| No log        | 2.0   | 26   | 0.9264          |
| 1.1679        | 3.0   | 39   | 0.8999          |
| 1.1679        | 4.0   | 52   | 0.7677          |
| 0.8695        | 5.0   | 65   | 0.6625          |
| 0.8695        | 6.0   | 78   | 0.6801          |
| 0.733         | 7.0   | 91   | 0.7046          |
| 0.733         | 8.0   | 104  | 0.6163          |
| 0.733         | 9.0   | 117  | 0.4858          |
| 0.6456        | 10.0  | 130  | 0.6188          |
| 0.6456        | 11.0  | 143  | 0.4342          |
| 0.5509        | 12.0  | 156  | 0.4561          |
| 0.5509        | 13.0  | 169  | 0.4610          |
| 0.5194        | 14.0  | 182  | 0.4872          |
| 0.5194        | 15.0  | 195  | 0.3929          |
| 0.5194        | 16.0  | 208  | 0.3746          |
| 0.4818        | 17.0  | 221  | 0.4183          |
| 0.4818        | 18.0  | 234  | 0.3301          |
| 0.4491        | 19.0  | 247  | 0.3647          |
| 0.4491        | 20.0  | 260  | 0.3881          |
| 0.4108        | 21.0  | 273  | 0.3070          |
| 0.4108        | 22.0  | 286  | 0.3409          |
| 0.4108        | 23.0  | 299  | 0.3500          |
| 0.3873        | 24.0  | 312  | 0.3143          |
| 0.3873        | 25.0  | 325  | 0.3314          |
| 0.385         | 26.0  | 338  | 0.2909          |
| 0.385         | 27.0  | 351  | 0.2874          |
| 0.3735        | 28.0  | 364  | 0.3362          |
| 0.3735        | 29.0  | 377  | 0.2828          |
| 0.3794        | 30.0  | 390  | 0.2709          |
| 0.3794        | 31.0  | 403  | 0.3035          |
| 0.3794        | 32.0  | 416  | 0.3283          |
| 0.3591        | 33.0  | 429  | 0.2983          |
| 0.3591        | 34.0  | 442  | 0.3207          |
| 0.3412        | 35.0  | 455  | 0.2782          |
| 0.3412        | 36.0  | 468  | 0.2417          |
| 0.3264        | 37.0  | 481  | 0.2604          |
| 0.3264        | 38.0  | 494  | 0.2783          |
| 0.3264        | 39.0  | 507  | 0.2813          |
| 0.3106        | 40.0  | 520  | 0.2569          |
| 0.3106        | 41.0  | 533  | 0.2442          |
| 0.3           | 42.0  | 546  | 0.2540          |
| 0.3           | 43.0  | 559  | 0.2532          |
| 0.2936        | 44.0  | 572  | 0.2696          |
| 0.2936        | 45.0  | 585  | 0.2516          |
| 0.2936        | 46.0  | 598  | 0.2359          |
| 0.283         | 47.0  | 611  | 0.2418          |
| 0.283         | 48.0  | 624  | 0.2594          |
| 0.2723        | 49.0  | 637  | 0.2364          |
| 0.2723        | 50.0  | 650  | 0.2518          |
| 0.2686        | 51.0  | 663  | 0.2533          |
| 0.2686        | 52.0  | 676  | 0.2393          |
| 0.2686        | 53.0  | 689  | 0.2391          |
| 0.2665        | 54.0  | 702  | 0.2346          |
| 0.2665        | 55.0  | 715  | 0.2319          |
| 0.2687        | 56.0  | 728  | 0.2321          |
| 0.2687        | 57.0  | 741  | 0.2333          |
| 0.266         | 58.0  | 754  | 0.2333          |
| 0.266         | 59.0  | 767  | 0.2342          |
| 0.2719        | 60.0  | 780  | 0.2325          |


### Framework versions

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