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

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: 0.2445

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.1031        | 1.0   | 497   | 0.9868          |
| 0.7476        | 2.0   | 994   | 0.6725          |
| 0.6123        | 3.0   | 1491  | 0.7112          |
| 0.576         | 4.0   | 1988  | 0.4941          |
| 0.4914        | 5.0   | 2485  | 0.4320          |
| 0.4722        | 6.0   | 2982  | 0.3852          |
| 0.4893        | 7.0   | 3479  | 0.4150          |
| 0.4411        | 8.0   | 3976  | 0.4270          |
| 0.4039        | 9.0   | 4473  | 0.3440          |
| 0.4182        | 10.0  | 4970  | 0.3521          |
| 0.4056        | 11.0  | 5467  | 0.3263          |
| 0.3723        | 12.0  | 5964  | 0.3328          |
| 0.3584        | 13.0  | 6461  | 0.3265          |
| 0.3497        | 14.0  | 6958  | 0.3627          |
| 0.3521        | 15.0  | 7455  | 0.3201          |
| 0.3515        | 16.0  | 7952  | 0.3582          |
| 0.3424        | 17.0  | 8449  | 0.3191          |
| 0.3754        | 18.0  | 8946  | 0.3132          |
| 0.3278        | 19.0  | 9443  | 0.3085          |
| 0.3105        | 20.0  | 9940  | 0.2860          |
| 0.3048        | 21.0  | 10437 | 0.3004          |
| 0.3078        | 22.0  | 10934 | 0.2912          |
| 0.3105        | 23.0  | 11431 | 0.2940          |
| 0.3099        | 24.0  | 11928 | 0.2946          |
| 0.3005        | 25.0  | 12425 | 0.2868          |
| 0.2984        | 26.0  | 12922 | 0.2739          |
| 0.3072        | 27.0  | 13419 | 0.2866          |
| 0.2872        | 28.0  | 13916 | 0.2832          |
| 0.2921        | 29.0  | 14413 | 0.2720          |
| 0.2939        | 30.0  | 14910 | 0.2894          |
| 0.2957        | 31.0  | 15407 | 0.2549          |
| 0.2792        | 32.0  | 15904 | 0.2662          |
| 0.2846        | 33.0  | 16401 | 0.2723          |
| 0.2917        | 34.0  | 16898 | 0.2717          |
| 0.2711        | 35.0  | 17395 | 0.2655          |
| 0.2591        | 36.0  | 17892 | 0.2641          |
| 0.2618        | 37.0  | 18389 | 0.2558          |
| 0.2833        | 38.0  | 18886 | 0.2574          |
| 0.2525        | 39.0  | 19383 | 0.2682          |
| 0.2618        | 40.0  | 19880 | 0.2649          |
| 0.2561        | 41.0  | 20377 | 0.2513          |
| 0.2623        | 42.0  | 20874 | 0.2578          |
| 0.2518        | 43.0  | 21371 | 0.2602          |
| 0.2478        | 44.0  | 21868 | 0.2506          |
| 0.2495        | 45.0  | 22365 | 0.2576          |
| 0.2324        | 46.0  | 22862 | 0.2407          |
| 0.2343        | 47.0  | 23359 | 0.2570          |
| 0.2545        | 48.0  | 23856 | 0.2497          |
| 0.2243        | 49.0  | 24353 | 0.2468          |
| 0.2478        | 50.0  | 24850 | 0.2524          |
| 0.2296        | 51.0  | 25347 | 0.2477          |
| 0.2462        | 52.0  | 25844 | 0.2540          |
| 0.2504        | 53.0  | 26341 | 0.2513          |
| 0.2493        | 54.0  | 26838 | 0.2509          |
| 0.2258        | 55.0  | 27335 | 0.2451          |
| 0.2545        | 56.0  | 27832 | 0.2433          |
| 0.2463        | 57.0  | 28329 | 0.2444          |
| 0.236         | 58.0  | 28826 | 0.2444          |
| 0.2444        | 59.0  | 29323 | 0.2445          |
| 0.231         | 60.0  | 29820 | 0.2445          |


### Framework versions

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