---
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: 0.2476

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.2826        | 1.0   | 497   | 1.1718          |
| 1.0565        | 2.0   | 994   | 0.9496          |
| 0.8699        | 3.0   | 1491  | 0.8140          |
| 0.9199        | 4.0   | 1988  | 0.7631          |
| 0.7011        | 5.0   | 2485  | 0.6355          |
| 0.7246        | 6.0   | 2982  | 0.6444          |
| 0.5952        | 7.0   | 3479  | 0.5118          |
| 0.5584        | 8.0   | 3976  | 0.4591          |
| 0.4884        | 9.0   | 4473  | 0.4302          |
| 0.4804        | 10.0  | 4970  | 0.4176          |
| 0.4511        | 11.0  | 5467  | 0.3914          |
| 0.4124        | 12.0  | 5964  | 0.3830          |
| 0.4182        | 13.0  | 6461  | 0.3754          |
| 0.4103        | 14.0  | 6958  | 0.3583          |
| 0.4037        | 15.0  | 7455  | 0.3451          |
| 0.3983        | 16.0  | 7952  | 0.3453          |
| 0.3606        | 17.0  | 8449  | 0.3426          |
| 0.3885        | 18.0  | 8946  | 0.3436          |
| 0.3713        | 19.0  | 9443  | 0.3321          |
| 0.339         | 20.0  | 9940  | 0.3199          |
| 0.3345        | 21.0  | 10437 | 0.3119          |
| 0.3215        | 22.0  | 10934 | 0.3189          |
| 0.353         | 23.0  | 11431 | 0.3031          |
| 0.338         | 24.0  | 11928 | 0.3152          |
| 0.3183        | 25.0  | 12425 | 0.3113          |
| 0.3219        | 26.0  | 12922 | 0.2882          |
| 0.3128        | 27.0  | 13419 | 0.2872          |
| 0.3032        | 28.0  | 13916 | 0.2876          |
| 0.3129        | 29.0  | 14413 | 0.2835          |
| 0.3062        | 30.0  | 14910 | 0.2832          |
| 0.3214        | 31.0  | 15407 | 0.2668          |
| 0.2891        | 32.0  | 15904 | 0.2838          |
| 0.297         | 33.0  | 16401 | 0.2756          |
| 0.296         | 34.0  | 16898 | 0.2753          |
| 0.2882        | 35.0  | 17395 | 0.2706          |
| 0.2704        | 36.0  | 17892 | 0.2644          |
| 0.2709        | 37.0  | 18389 | 0.2643          |
| 0.2852        | 38.0  | 18886 | 0.2640          |
| 0.259         | 39.0  | 19383 | 0.2698          |
| 0.276         | 40.0  | 19880 | 0.2602          |
| 0.2867        | 41.0  | 20377 | 0.2499          |
| 0.2986        | 42.0  | 20874 | 0.2672          |
| 0.2577        | 43.0  | 21371 | 0.2577          |
| 0.2583        | 44.0  | 21868 | 0.2487          |
| 0.2599        | 45.0  | 22365 | 0.2570          |
| 0.2498        | 46.0  | 22862 | 0.2529          |
| 0.2496        | 47.0  | 23359 | 0.2522          |
| 0.2596        | 48.0  | 23856 | 0.2568          |
| 0.2352        | 49.0  | 24353 | 0.2525          |
| 0.2552        | 50.0  | 24850 | 0.2452          |
| 0.2428        | 51.0  | 25347 | 0.2496          |
| 0.2538        | 52.0  | 25844 | 0.2483          |
| 0.2657        | 53.0  | 26341 | 0.2510          |
| 0.2532        | 54.0  | 26838 | 0.2510          |
| 0.2412        | 55.0  | 27335 | 0.2485          |
| 0.2822        | 56.0  | 27832 | 0.2491          |
| 0.2694        | 57.0  | 28329 | 0.2482          |
| 0.249         | 58.0  | 28826 | 0.2479          |
| 0.2408        | 59.0  | 29323 | 0.2477          |
| 0.2345        | 60.0  | 29820 | 0.2476          |


### Framework versions

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