---
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: chickens-60-epoch-200-images-aug
  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-60-epoch-200-images-aug

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: 0.7879

## 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: 1e-05
- train_batch_size: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8113        | 1.0   | 99   | 1.7276          |
| 1.6476        | 2.0   | 198  | 1.6048          |
| 1.5322        | 3.0   | 297  | 1.5558          |
| 1.4583        | 4.0   | 396  | 1.5492          |
| 1.4133        | 5.0   | 495  | 1.4773          |
| 1.2818        | 6.0   | 594  | 1.4787          |
| 1.268         | 7.0   | 693  | 1.4505          |
| 1.3172        | 8.0   | 792  | 1.4291          |
| 1.1975        | 9.0   | 891  | 1.3960          |
| 1.311         | 10.0  | 990  | 1.3459          |
| 1.2484        | 11.0  | 1089 | 1.3569          |
| 1.1687        | 12.0  | 1188 | 1.2778          |
| 1.112         | 13.0  | 1287 | 1.2389          |
| 1.2598        | 14.0  | 1386 | 1.2069          |
| 1.0906        | 15.0  | 1485 | 1.1883          |
| 0.9967        | 16.0  | 1584 | 1.1497          |
| 1.0678        | 17.0  | 1683 | 1.1192          |
| 0.9576        | 18.0  | 1782 | 1.1014          |
| 0.949         | 19.0  | 1881 | 1.0664          |
| 1.0769        | 20.0  | 1980 | 1.0688          |
| 0.9524        | 21.0  | 2079 | 1.0646          |
| 0.9657        | 22.0  | 2178 | 1.0175          |
| 0.9513        | 23.0  | 2277 | 1.0063          |
| 0.9491        | 24.0  | 2376 | 0.9940          |
| 0.9627        | 25.0  | 2475 | 1.0021          |
| 0.8589        | 26.0  | 2574 | 0.9789          |
| 0.9262        | 27.0  | 2673 | 0.9617          |
| 0.9427        | 28.0  | 2772 | 0.9321          |
| 0.8809        | 29.0  | 2871 | 0.9247          |
| 0.8179        | 30.0  | 2970 | 0.8999          |
| 0.8738        | 31.0  | 3069 | 0.9117          |
| 0.8755        | 32.0  | 3168 | 0.8800          |
| 0.8438        | 33.0  | 3267 | 0.8923          |
| 0.9304        | 34.0  | 3366 | 0.8703          |
| 0.8727        | 35.0  | 3465 | 0.8766          |
| 0.8624        | 36.0  | 3564 | 0.8778          |
| 0.8215        | 37.0  | 3663 | 0.8759          |
| 0.8369        | 38.0  | 3762 | 0.8588          |
| 0.8337        | 39.0  | 3861 | 0.8407          |
| 0.8645        | 40.0  | 3960 | 0.8265          |
| 0.8651        | 41.0  | 4059 | 0.8198          |
| 0.7914        | 42.0  | 4158 | 0.8120          |
| 0.8166        | 43.0  | 4257 | 0.8155          |
| 0.7324        | 44.0  | 4356 | 0.8021          |
| 0.7965        | 45.0  | 4455 | 0.8009          |
| 0.7716        | 46.0  | 4554 | 0.7986          |
| 0.8009        | 47.0  | 4653 | 0.7985          |
| 0.8415        | 48.0  | 4752 | 0.7999          |
| 0.748         | 49.0  | 4851 | 0.8068          |
| 0.734         | 50.0  | 4950 | 0.7922          |
| 0.8349        | 51.0  | 5049 | 0.7933          |
| 0.7263        | 52.0  | 5148 | 0.7921          |
| 0.8398        | 53.0  | 5247 | 0.7894          |
| 0.759         | 54.0  | 5346 | 0.7890          |
| 0.8424        | 55.0  | 5445 | 0.7884          |
| 0.83          | 56.0  | 5544 | 0.7883          |
| 0.9343        | 57.0  | 5643 | 0.7885          |
| 0.8499        | 58.0  | 5742 | 0.7877          |
| 0.7613        | 59.0  | 5841 | 0.7879          |
| 0.8152        | 60.0  | 5940 | 0.7879          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 2.19.2
- Tokenizers 0.20.0