---
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: 0.2124

## 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   | 0.9087          |
| 1.1031        | 2.0   | 46   | 0.8311          |
| 0.9027        | 3.0   | 69   | 0.6971          |
| 0.7561        | 4.0   | 92   | 0.5537          |
| 0.7561        | 5.0   | 115  | 0.4770          |
| 0.6238        | 6.0   | 138  | 0.4349          |
| 0.5385        | 7.0   | 161  | 0.3924          |
| 0.4759        | 8.0   | 184  | 0.3603          |
| 0.4759        | 9.0   | 207  | 0.3261          |
| 0.4367        | 10.0  | 230  | 0.3306          |
| 0.4199        | 11.0  | 253  | 0.3442          |
| 0.3988        | 12.0  | 276  | 0.2995          |
| 0.3988        | 13.0  | 299  | 0.3219          |
| 0.3887        | 14.0  | 322  | 0.2768          |
| 0.3808        | 15.0  | 345  | 0.2574          |
| 0.3673        | 16.0  | 368  | 0.2715          |
| 0.3354        | 17.0  | 391  | 0.3126          |
| 0.3354        | 18.0  | 414  | 0.2536          |
| 0.3347        | 19.0  | 437  | 0.2362          |
| 0.3287        | 20.0  | 460  | 0.2539          |
| 0.3325        | 21.0  | 483  | 0.2341          |
| 0.3325        | 22.0  | 506  | 0.2173          |
| 0.3196        | 23.0  | 529  | 0.2180          |
| 0.3091        | 24.0  | 552  | 0.2166          |
| 0.3111        | 25.0  | 575  | 0.2264          |
| 0.3111        | 26.0  | 598  | 0.2070          |
| 0.2983        | 27.0  | 621  | 0.2177          |
| 0.2946        | 28.0  | 644  | 0.2080          |
| 0.3068        | 29.0  | 667  | 0.2113          |
| 0.2933        | 30.0  | 690  | 0.2124          |


### Framework versions

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