---
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: 0.1196

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.9349        | 1.0   | 116   | 0.7539          |
| 0.5649        | 2.0   | 232   | 0.3776          |
| 0.4438        | 3.0   | 348   | 0.6132          |
| 0.4345        | 4.0   | 464   | 0.3365          |
| 0.3976        | 5.0   | 580   | 0.3252          |
| 0.403         | 6.0   | 696   | 0.3667          |
| 0.3751        | 7.0   | 812   | 0.2778          |
| 0.3511        | 8.0   | 928   | 0.2519          |
| 0.3696        | 9.0   | 1044  | 0.2642          |
| 0.3251        | 10.0  | 1160  | 0.3030          |
| 0.3524        | 11.0  | 1276  | 0.2610          |
| 0.3643        | 12.0  | 1392  | 0.2414          |
| 0.3125        | 13.0  | 1508  | 0.2545          |
| 0.325         | 14.0  | 1624  | 0.3899          |
| 0.3124        | 15.0  | 1740  | 0.2996          |
| 0.328         | 16.0  | 1856  | 0.2277          |
| 0.2735        | 17.0  | 1972  | 0.2658          |
| 0.3105        | 18.0  | 2088  | 0.2262          |
| 0.2852        | 19.0  | 2204  | 0.2434          |
| 0.3124        | 20.0  | 2320  | 0.3230          |
| 0.2979        | 21.0  | 2436  | 0.2338          |
| 0.2857        | 22.0  | 2552  | 0.2319          |
| 0.3598        | 23.0  | 2668  | 0.2157          |
| 0.352         | 24.0  | 2784  | 0.2456          |
| 0.3087        | 25.0  | 2900  | 0.2397          |
| 0.3206        | 26.0  | 3016  | 0.2461          |
| 0.2837        | 27.0  | 3132  | 0.1970          |
| 0.2981        | 28.0  | 3248  | 0.2741          |
| 0.2845        | 29.0  | 3364  | 0.2312          |
| 0.2768        | 30.0  | 3480  | 0.2197          |
| 0.2806        | 31.0  | 3596  | 0.2411          |
| 0.2635        | 32.0  | 3712  | 0.2112          |
| 0.2908        | 33.0  | 3828  | 0.2023          |
| 0.2704        | 34.0  | 3944  | 0.2480          |
| 0.349         | 35.0  | 4060  | 0.2171          |
| 0.2829        | 36.0  | 4176  | 0.2516          |
| 0.3237        | 37.0  | 4292  | 0.2373          |
| 0.2747        | 38.0  | 4408  | 0.2233          |
| 0.3058        | 39.0  | 4524  | 0.2511          |
| 0.4718        | 40.0  | 4640  | 0.3368          |
| 0.2992        | 41.0  | 4756  | 0.2639          |
| 0.285         | 42.0  | 4872  | 0.2716          |
| 0.2702        | 43.0  | 4988  | 0.2264          |
| 0.2905        | 44.0  | 5104  | 0.1958          |
| 0.2815        | 45.0  | 5220  | 0.2076          |
| 0.2806        | 46.0  | 5336  | 0.2315          |
| 0.2503        | 47.0  | 5452  | 0.1862          |
| 0.258         | 48.0  | 5568  | 0.2162          |
| 0.2413        | 49.0  | 5684  | 0.1840          |
| 0.2348        | 50.0  | 5800  | 0.1666          |
| 0.2374        | 51.0  | 5916  | 0.2053          |
| 0.24          | 52.0  | 6032  | 0.1717          |
| 0.2306        | 53.0  | 6148  | 0.1881          |
| 0.2398        | 54.0  | 6264  | 0.1845          |
| 0.2363        | 55.0  | 6380  | 0.1764          |
| 0.2249        | 56.0  | 6496  | 0.1942          |
| 0.2154        | 57.0  | 6612  | 0.1945          |
| 0.2348        | 58.0  | 6728  | 0.2108          |
| 0.2349        | 59.0  | 6844  | 0.1930          |
| 0.2294        | 60.0  | 6960  | 0.1902          |
| 0.2155        | 61.0  | 7076  | 0.2001          |
| 0.2197        | 62.0  | 7192  | 0.1737          |
| 0.2271        | 63.0  | 7308  | 0.1624          |
| 0.215         | 64.0  | 7424  | 0.1705          |
| 0.2284        | 65.0  | 7540  | 0.1554          |
| 0.2134        | 66.0  | 7656  | 0.1680          |
| 0.2182        | 67.0  | 7772  | 0.1682          |
| 0.2088        | 68.0  | 7888  | 0.1448          |
| 0.2023        | 69.0  | 8004  | 0.1507          |
| 0.2115        | 70.0  | 8120  | 0.1836          |
| 0.202         | 71.0  | 8236  | 0.1779          |
| 0.1923        | 72.0  | 8352  | 0.1594          |
| 0.1993        | 73.0  | 8468  | 0.1700          |
| 0.2003        | 74.0  | 8584  | 0.1587          |
| 0.1975        | 75.0  | 8700  | 0.1667          |
| 0.1996        | 76.0  | 8816  | 0.1637          |
| 0.1933        | 77.0  | 8932  | 0.1344          |
| 0.1884        | 78.0  | 9048  | 0.1497          |
| 0.1912        | 79.0  | 9164  | 0.1571          |
| 0.191         | 80.0  | 9280  | 0.1426          |
| 0.1866        | 81.0  | 9396  | 0.1529          |
| 0.1859        | 82.0  | 9512  | 0.1494          |
| 0.183         | 83.0  | 9628  | 0.1508          |
| 0.182         | 84.0  | 9744  | 0.1482          |
| 0.171         | 85.0  | 9860  | 0.1662          |
| 0.1773        | 86.0  | 9976  | 0.1561          |
| 0.1742        | 87.0  | 10092 | 0.1514          |
| 0.1778        | 88.0  | 10208 | 0.1371          |
| 0.1721        | 89.0  | 10324 | 0.1426          |
| 0.1725        | 90.0  | 10440 | 0.1554          |
| 0.1665        | 91.0  | 10556 | 0.1494          |
| 0.1739        | 92.0  | 10672 | 0.1423          |
| 0.1688        | 93.0  | 10788 | 0.1467          |
| 0.1706        | 94.0  | 10904 | 0.1267          |
| 0.1715        | 95.0  | 11020 | 0.1383          |
| 0.1684        | 96.0  | 11136 | 0.1357          |
| 0.1699        | 97.0  | 11252 | 0.1464          |
| 0.172         | 98.0  | 11368 | 0.1429          |
| 0.1673        | 99.0  | 11484 | 0.1387          |
| 0.166         | 100.0 | 11600 | 0.1369          |
| 0.1655        | 101.0 | 11716 | 0.1272          |
| 0.1654        | 102.0 | 11832 | 0.1237          |
| 0.1625        | 103.0 | 11948 | 0.1321          |
| 0.1622        | 104.0 | 12064 | 0.1275          |
| 0.1606        | 105.0 | 12180 | 0.1250          |
| 0.1603        | 106.0 | 12296 | 0.1293          |
| 0.1622        | 107.0 | 12412 | 0.1275          |
| 0.1607        | 108.0 | 12528 | 0.1238          |
| 0.1593        | 109.0 | 12644 | 0.1264          |
| 0.1568        | 110.0 | 12760 | 0.1251          |
| 0.1589        | 111.0 | 12876 | 0.1253          |
| 0.1576        | 112.0 | 12992 | 0.1246          |
| 0.1539        | 113.0 | 13108 | 0.1223          |
| 0.1583        | 114.0 | 13224 | 0.1228          |
| 0.1601        | 115.0 | 13340 | 0.1217          |
| 0.1628        | 116.0 | 13456 | 0.1222          |
| 0.1542        | 117.0 | 13572 | 0.1214          |
| 0.1559        | 118.0 | 13688 | 0.1213          |
| 0.1598        | 119.0 | 13804 | 0.1217          |
| 0.1554        | 120.0 | 13920 | 0.1196          |


### Framework versions

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