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

# results

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: 1.1121

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5219        | 1.0   | 150  | 1.5095          |
| 1.4556        | 2.0   | 300  | 1.4327          |
| 1.377         | 3.0   | 450  | 1.3390          |
| 1.3398        | 4.0   | 600  | 1.2920          |
| 1.3035        | 5.0   | 750  | 1.2615          |
| 1.2632        | 6.0   | 900  | 1.2491          |
| 1.2236        | 7.0   | 1050 | 1.2270          |
| 1.2066        | 8.0   | 1200 | 1.2137          |
| 1.1853        | 9.0   | 1350 | 1.1804          |
| 1.1686        | 10.0  | 1500 | 1.1939          |
| 1.1531        | 11.0  | 1650 | 1.1614          |
| 1.1388        | 12.0  | 1800 | 1.1582          |
| 1.1157        | 13.0  | 1950 | 1.1663          |
| 1.0953        | 14.0  | 2100 | 1.1516          |
| 1.0903        | 15.0  | 2250 | 1.1507          |
| 1.0834        | 16.0  | 2400 | 1.1479          |
| 1.0779        | 17.0  | 2550 | 1.1305          |
| 1.0651        | 18.0  | 2700 | 1.1332          |
| 1.0607        | 19.0  | 2850 | 1.1350          |
| 1.0567        | 20.0  | 3000 | 1.1380          |


### Framework versions

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