---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr-resnet-50_finetuned_swny
  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. -->

# detr-resnet-50_finetuned_swny

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: 1.7504

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 5.6587        | 4.7619  | 100  | 5.5964          |
| 4.3793        | 9.5238  | 200  | 3.8578          |
| 3.4828        | 14.2857 | 300  | 3.2121          |
| 2.8371        | 19.0476 | 400  | 2.6974          |
| 2.3745        | 23.8095 | 500  | 2.3697          |
| 2.0983        | 28.5714 | 600  | 2.0374          |
| 1.995         | 33.3333 | 700  | 2.0759          |
| 1.8153        | 38.0952 | 800  | 1.9295          |
| 1.7984        | 42.8571 | 900  | 1.8945          |
| 1.6725        | 47.6190 | 1000 | 1.8271          |
| 1.5961        | 52.3810 | 1100 | 1.8709          |
| 1.5454        | 57.1429 | 1200 | 1.8674          |
| 1.4977        | 61.9048 | 1300 | 1.8333          |
| 1.4575        | 66.6667 | 1400 | 1.8387          |
| 1.4784        | 71.4286 | 1500 | 1.8334          |
| 1.4698        | 76.1905 | 1600 | 1.7419          |
| 1.4335        | 80.9524 | 1700 | 1.8332          |
| 1.394         | 85.7143 | 1800 | 1.8329          |
| 1.3992        | 90.4762 | 1900 | 1.7304          |
| 1.3951        | 95.2381 | 2000 | 1.6899          |
| 1.3984        | 100.0   | 2100 | 1.7504          |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1