---
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: 0.1949

## 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: 120

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 12   | 1.3837          |
| No log        | 2.0   | 24   | 0.9192          |
| 1.2199        | 3.0   | 36   | 0.9478          |
| 1.2199        | 4.0   | 48   | 0.8188          |
| 0.9301        | 5.0   | 60   | 0.8648          |
| 0.9301        | 6.0   | 72   | 0.7913          |
| 0.9301        | 7.0   | 84   | 0.8269          |
| 0.834         | 8.0   | 96   | 0.7546          |
| 0.834         | 9.0   | 108  | 0.7128          |
| 0.7676        | 10.0  | 120  | 0.6706          |
| 0.7676        | 11.0  | 132  | 0.6042          |
| 0.7676        | 12.0  | 144  | 0.5586          |
| 0.6807        | 13.0  | 156  | 0.5129          |
| 0.6807        | 14.0  | 168  | 0.4815          |
| 0.5846        | 15.0  | 180  | 0.4724          |
| 0.5846        | 16.0  | 192  | 0.4970          |
| 0.5846        | 17.0  | 204  | 0.4900          |
| 0.5437        | 18.0  | 216  | 0.4985          |
| 0.5437        | 19.0  | 228  | 0.6295          |
| 0.5232        | 20.0  | 240  | 0.5023          |
| 0.5232        | 21.0  | 252  | 0.4312          |
| 0.5232        | 22.0  | 264  | 0.4583          |
| 0.5147        | 23.0  | 276  | 0.4499          |
| 0.5147        | 24.0  | 288  | 0.3438          |
| 0.4613        | 25.0  | 300  | 0.3953          |
| 0.4613        | 26.0  | 312  | 0.3916          |
| 0.4613        | 27.0  | 324  | 0.4285          |
| 0.4288        | 28.0  | 336  | 0.3532          |
| 0.4288        | 29.0  | 348  | 0.3513          |
| 0.4251        | 30.0  | 360  | 0.3761          |
| 0.4251        | 31.0  | 372  | 0.3183          |
| 0.4251        | 32.0  | 384  | 0.3419          |
| 0.3963        | 33.0  | 396  | 0.3186          |
| 0.3963        | 34.0  | 408  | 0.2799          |
| 0.3684        | 35.0  | 420  | 0.3688          |
| 0.3684        | 36.0  | 432  | 0.4035          |
| 0.3684        | 37.0  | 444  | 0.3491          |
| 0.4062        | 38.0  | 456  | 0.3147          |
| 0.4062        | 39.0  | 468  | 0.3333          |
| 0.3745        | 40.0  | 480  | 0.2822          |
| 0.3745        | 41.0  | 492  | 0.2734          |
| 0.3745        | 42.0  | 504  | 0.2816          |
| 0.3461        | 43.0  | 516  | 0.3289          |
| 0.3461        | 44.0  | 528  | 0.3538          |
| 0.3707        | 45.0  | 540  | 0.2969          |
| 0.3707        | 46.0  | 552  | 0.3335          |
| 0.3707        | 47.0  | 564  | 0.3201          |
| 0.3906        | 48.0  | 576  | 0.3262          |
| 0.3906        | 49.0  | 588  | 0.3213          |
| 0.3622        | 50.0  | 600  | 0.2825          |
| 0.3622        | 51.0  | 612  | 0.3111          |
| 0.3622        | 52.0  | 624  | 0.2814          |
| 0.336         | 53.0  | 636  | 0.3242          |
| 0.336         | 54.0  | 648  | 0.2615          |
| 0.3326        | 55.0  | 660  | 0.3107          |
| 0.3326        | 56.0  | 672  | 0.2904          |
| 0.3326        | 57.0  | 684  | 0.2967          |
| 0.3407        | 58.0  | 696  | 0.2818          |
| 0.3407        | 59.0  | 708  | 0.2759          |
| 0.3467        | 60.0  | 720  | 0.2862          |
| 0.3467        | 61.0  | 732  | 0.3529          |
| 0.3467        | 62.0  | 744  | 0.3559          |
| 0.354         | 63.0  | 756  | 0.2403          |
| 0.354         | 64.0  | 768  | 0.2815          |
| 0.3237        | 65.0  | 780  | 0.2819          |
| 0.3237        | 66.0  | 792  | 0.2476          |
| 0.3237        | 67.0  | 804  | 0.3193          |
| 0.3182        | 68.0  | 816  | 0.2444          |
| 0.3182        | 69.0  | 828  | 0.2510          |
| 0.3151        | 70.0  | 840  | 0.2951          |
| 0.3151        | 71.0  | 852  | 0.2389          |
| 0.3151        | 72.0  | 864  | 0.2657          |
| 0.3173        | 73.0  | 876  | 0.2783          |
| 0.3173        | 74.0  | 888  | 0.2791          |
| 0.3283        | 75.0  | 900  | 0.2445          |
| 0.3283        | 76.0  | 912  | 0.2507          |
| 0.3283        | 77.0  | 924  | 0.2778          |
| 0.3041        | 78.0  | 936  | 0.2471          |
| 0.3041        | 79.0  | 948  | 0.2219          |
| 0.2925        | 80.0  | 960  | 0.2767          |
| 0.2925        | 81.0  | 972  | 0.3046          |
| 0.2925        | 82.0  | 984  | 0.2837          |
| 0.3112        | 83.0  | 996  | 0.2710          |
| 0.3112        | 84.0  | 1008 | 0.2399          |
| 0.282         | 85.0  | 1020 | 0.2388          |
| 0.282         | 86.0  | 1032 | 0.2401          |
| 0.282         | 87.0  | 1044 | 0.2302          |
| 0.2806        | 88.0  | 1056 | 0.1975          |
| 0.2806        | 89.0  | 1068 | 0.2154          |
| 0.271         | 90.0  | 1080 | 0.1875          |
| 0.271         | 91.0  | 1092 | 0.2032          |
| 0.271         | 92.0  | 1104 | 0.2198          |
| 0.2695        | 93.0  | 1116 | 0.2018          |
| 0.2695        | 94.0  | 1128 | 0.2124          |
| 0.2593        | 95.0  | 1140 | 0.2150          |
| 0.2593        | 96.0  | 1152 | 0.1841          |
| 0.2593        | 97.0  | 1164 | 0.2062          |
| 0.2643        | 98.0  | 1176 | 0.1977          |
| 0.2643        | 99.0  | 1188 | 0.1847          |
| 0.2508        | 100.0 | 1200 | 0.1939          |
| 0.2508        | 101.0 | 1212 | 0.2070          |
| 0.2508        | 102.0 | 1224 | 0.1943          |
| 0.2547        | 103.0 | 1236 | 0.1911          |
| 0.2547        | 104.0 | 1248 | 0.1922          |
| 0.2512        | 105.0 | 1260 | 0.1988          |
| 0.2512        | 106.0 | 1272 | 0.1968          |
| 0.2512        | 107.0 | 1284 | 0.1984          |
| 0.2465        | 108.0 | 1296 | 0.2030          |
| 0.2465        | 109.0 | 1308 | 0.1995          |
| 0.2428        | 110.0 | 1320 | 0.1948          |
| 0.2428        | 111.0 | 1332 | 0.1969          |
| 0.2428        | 112.0 | 1344 | 0.1969          |
| 0.2432        | 113.0 | 1356 | 0.1943          |
| 0.2432        | 114.0 | 1368 | 0.1949          |
| 0.2428        | 115.0 | 1380 | 0.1930          |
| 0.2428        | 116.0 | 1392 | 0.1924          |
| 0.2428        | 117.0 | 1404 | 0.1948          |
| 0.2452        | 118.0 | 1416 | 0.1967          |
| 0.2452        | 119.0 | 1428 | 0.1943          |
| 0.245         | 120.0 | 1440 | 0.1949          |


### Framework versions

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