---
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: 0.1823

## 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 23   | 0.8459          |
| 1.0196        | 2.0   | 46   | 0.7556          |
| 0.761         | 3.0   | 69   | 0.7300          |
| 0.7271        | 4.0   | 92   | 0.6512          |
| 0.7271        | 5.0   | 115  | 0.4850          |
| 0.6713        | 6.0   | 138  | 0.4941          |
| 0.5706        | 7.0   | 161  | 0.4114          |
| 0.5322        | 8.0   | 184  | 0.5840          |
| 0.5322        | 9.0   | 207  | 0.4716          |
| 0.5547        | 10.0  | 230  | 0.3995          |
| 0.497         | 11.0  | 253  | 0.3895          |
| 0.4594        | 12.0  | 276  | 0.4075          |
| 0.4594        | 13.0  | 299  | 0.3177          |
| 0.4287        | 14.0  | 322  | 0.3166          |
| 0.3933        | 15.0  | 345  | 0.2530          |
| 0.3656        | 16.0  | 368  | 0.3149          |
| 0.3679        | 17.0  | 391  | 0.2246          |
| 0.3679        | 18.0  | 414  | 0.2251          |
| 0.3296        | 19.0  | 437  | 0.2383          |
| 0.3305        | 20.0  | 460  | 0.2580          |
| 0.3263        | 21.0  | 483  | 0.2059          |
| 0.3263        | 22.0  | 506  | 0.2023          |
| 0.3112        | 23.0  | 529  | 0.1950          |
| 0.3042        | 24.0  | 552  | 0.1974          |
| 0.2872        | 25.0  | 575  | 0.1984          |
| 0.2872        | 26.0  | 598  | 0.1868          |
| 0.2987        | 27.0  | 621  | 0.1862          |
| 0.2844        | 28.0  | 644  | 0.1860          |
| 0.2843        | 29.0  | 667  | 0.1864          |
| 0.2869        | 30.0  | 690  | 0.1823          |


### Framework versions

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