---
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: 0.3492

## 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   | 13   | 1.0881          |
| No log        | 2.0   | 26   | 0.9358          |
| 1.0365        | 3.0   | 39   | 0.9215          |
| 1.0365        | 4.0   | 52   | 0.9268          |
| 0.9112        | 5.0   | 65   | 0.9596          |
| 0.9112        | 6.0   | 78   | 0.7592          |
| 0.8322        | 7.0   | 91   | 0.8089          |
| 0.8322        | 8.0   | 104  | 0.6614          |
| 0.8322        | 9.0   | 117  | 0.6783          |
| 0.6855        | 10.0  | 130  | 0.7351          |
| 0.6855        | 11.0  | 143  | 0.5850          |
| 0.6472        | 12.0  | 156  | 0.6359          |
| 0.6472        | 13.0  | 169  | 0.5550          |
| 0.6054        | 14.0  | 182  | 0.6118          |
| 0.6054        | 15.0  | 195  | 0.5439          |
| 0.6054        | 16.0  | 208  | 0.4656          |
| 0.5285        | 17.0  | 221  | 0.5055          |
| 0.5285        | 18.0  | 234  | 0.4901          |
| 0.5045        | 19.0  | 247  | 0.4484          |
| 0.5045        | 20.0  | 260  | 0.4110          |
| 0.4543        | 21.0  | 273  | 0.4308          |
| 0.4543        | 22.0  | 286  | 0.3917          |
| 0.4543        | 23.0  | 299  | 0.3521          |
| 0.434         | 24.0  | 312  | 0.3937          |
| 0.434         | 25.0  | 325  | 0.3454          |
| 0.4099        | 26.0  | 338  | 0.3603          |
| 0.4099        | 27.0  | 351  | 0.3589          |
| 0.3998        | 28.0  | 364  | 0.3548          |
| 0.3998        | 29.0  | 377  | 0.3474          |
| 0.3945        | 30.0  | 390  | 0.3492          |


### Framework versions

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