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---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- object-detection
- vision
- generated_from_trainer
model-index:
- name: detr-resnet-50-base-coco
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-base-coco
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the detection-datasets/coco dataset.
It achieves the following results on the evaluation set:
- Loss: 5.2641
## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 4 | 5.5331 |
| No log | 2.0 | 8 | 5.5277 |
| 5.4377 | 3.0 | 12 | 5.4450 |
| 5.4377 | 4.0 | 16 | 5.3960 |
| 5.1582 | 5.0 | 20 | 5.3349 |
| 5.1582 | 6.0 | 24 | 5.3144 |
| 5.1582 | 7.0 | 28 | 5.2738 |
| 5.0556 | 8.0 | 32 | 5.2641 |
| 5.0556 | 9.0 | 36 | 5.2848 |
| 4.9784 | 10.0 | 40 | 5.2792 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
|