---
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: chickens-repro-4
  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-repro-4

This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2536

## 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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.2251        | 1.0   | 227   | 1.1143          |
| 1.1432        | 2.0   | 454   | 1.3992          |
| 1.0496        | 3.0   | 681   | 0.9853          |
| 0.9896        | 4.0   | 908   | 0.7757          |
| 0.8727        | 5.0   | 1135  | 0.7749          |
| 0.7478        | 6.0   | 1362  | 0.7531          |
| 0.694         | 7.0   | 1589  | 0.5933          |
| 0.7923        | 8.0   | 1816  | 0.6223          |
| 0.8413        | 9.0   | 2043  | 0.6116          |
| 0.8007        | 10.0  | 2270  | 0.8077          |
| 0.7769        | 11.0  | 2497  | 0.7307          |
| 0.7564        | 12.0  | 2724  | 0.6538          |
| 0.7178        | 13.0  | 2951  | 0.5011          |
| 0.724         | 14.0  | 3178  | 0.7358          |
| 0.7586        | 15.0  | 3405  | 0.6229          |
| 0.7284        | 16.0  | 3632  | 0.6627          |
| 0.6092        | 17.0  | 3859  | 0.5987          |
| 0.6531        | 18.0  | 4086  | 0.6447          |
| 0.5879        | 19.0  | 4313  | 0.4965          |
| 0.62          | 20.0  | 4540  | 0.4803          |
| 0.5851        | 21.0  | 4767  | 0.5303          |
| 0.5981        | 22.0  | 4994  | 0.4260          |
| 0.5593        | 23.0  | 5221  | 0.4870          |
| 0.6139        | 24.0  | 5448  | 0.4931          |
| 0.5381        | 25.0  | 5675  | 0.4639          |
| 0.5569        | 26.0  | 5902  | 0.4438          |
| 0.5432        | 27.0  | 6129  | 0.4747          |
| 0.5557        | 28.0  | 6356  | 0.4214          |
| 0.4997        | 29.0  | 6583  | 0.4308          |
| 0.5008        | 30.0  | 6810  | 0.3995          |
| 0.4966        | 31.0  | 7037  | 0.3612          |
| 0.4636        | 32.0  | 7264  | 0.4262          |
| 0.4566        | 33.0  | 7491  | 0.3896          |
| 0.4301        | 34.0  | 7718  | 0.3916          |
| 0.4501        | 35.0  | 7945  | 0.3290          |
| 0.4454        | 36.0  | 8172  | 0.3854          |
| 0.4313        | 37.0  | 8399  | 0.3072          |
| 0.4004        | 38.0  | 8626  | 0.3387          |
| 0.3943        | 39.0  | 8853  | 0.3349          |
| 0.397         | 40.0  | 9080  | 0.2835          |
| 0.3962        | 41.0  | 9307  | 0.2743          |
| 0.3924        | 42.0  | 9534  | 0.3099          |
| 0.373         | 43.0  | 9761  | 0.2811          |
| 0.3567        | 44.0  | 9988  | 0.2673          |
| 0.3675        | 45.0  | 10215 | 0.2863          |
| 0.3687        | 46.0  | 10442 | 0.2822          |
| 0.3495        | 47.0  | 10669 | 0.2650          |
| 0.3413        | 48.0  | 10896 | 0.2669          |
| 0.3495        | 49.0  | 11123 | 0.2664          |
| 0.3208        | 50.0  | 11350 | 0.2788          |
| 0.3348        | 51.0  | 11577 | 0.2763          |
| 0.34          | 52.0  | 11804 | 0.2615          |
| 0.3595        | 53.0  | 12031 | 0.2553          |
| 0.3319        | 54.0  | 12258 | 0.2588          |
| 0.342         | 55.0  | 12485 | 0.2597          |
| 0.3329        | 56.0  | 12712 | 0.2542          |
| 0.3357        | 57.0  | 12939 | 0.2543          |
| 0.3364        | 58.0  | 13166 | 0.2504          |
| 0.3278        | 59.0  | 13393 | 0.2535          |
| 0.3351        | 60.0  | 13620 | 0.2536          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1