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

# raccoon_detector

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: 0.4696

## 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: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 40   | 1.2814          |
| No log        | 2.0   | 80   | 1.1424          |
| No log        | 3.0   | 120  | 0.9869          |
| No log        | 4.0   | 160  | 0.9042          |
| No log        | 5.0   | 200  | 0.7036          |
| No log        | 6.0   | 240  | 0.7302          |
| No log        | 7.0   | 280  | 0.6320          |
| No log        | 8.0   | 320  | 0.5814          |
| No log        | 9.0   | 360  | 0.5468          |
| No log        | 10.0  | 400  | 0.5419          |
| No log        | 11.0  | 440  | 0.5130          |
| No log        | 12.0  | 480  | 0.5220          |
| 0.8899        | 13.0  | 520  | 0.5162          |
| 0.8899        | 14.0  | 560  | 0.5061          |
| 0.8899        | 15.0  | 600  | 0.5066          |
| 0.8899        | 16.0  | 640  | 0.4785          |
| 0.8899        | 17.0  | 680  | 0.4817          |
| 0.8899        | 18.0  | 720  | 0.4782          |
| 0.8899        | 19.0  | 760  | 0.4873          |
| 0.8899        | 20.0  | 800  | 0.4696          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1