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---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr
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
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: 0.8756
## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7508 | 0.16 | 300 | 1.7472 |
| 1.412 | 0.32 | 600 | 1.3611 |
| 1.2549 | 0.48 | 900 | 1.1682 |
| 1.0701 | 0.64 | 1200 | 1.0696 |
| 0.9812 | 0.8 | 1500 | 1.0103 |
| 1.0346 | 0.96 | 1800 | 0.9782 |
| 1.014 | 1.12 | 2100 | 0.9429 |
| 0.9691 | 1.28 | 2400 | 0.9248 |
| 0.9749 | 1.44 | 2700 | 0.8947 |
| 0.9707 | 1.6 | 3000 | 0.8887 |
| 0.938 | 1.76 | 3300 | 0.8889 |
| 0.9477 | 1.92 | 3600 | 0.8756 |
### Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
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