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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cd45rb
model-index:
- name: detr-r50-cd45rb-7k-8ah
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-r50-cd45rb-7k-8ah
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the cd45rb dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7164
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5817 | 1.0 | 896 | 1.9431 |
| 2.2882 | 2.0 | 1792 | 1.8638 |
| 2.2236 | 3.0 | 2688 | 1.8089 |
| 2.1649 | 4.0 | 3584 | 1.7843 |
| 2.1275 | 5.0 | 4480 | 1.7593 |
| 2.1176 | 6.0 | 5376 | 1.7542 |
| 2.1037 | 7.0 | 6272 | 1.7386 |
| 2.0969 | 8.0 | 7168 | 1.7242 |
| 2.0794 | 9.0 | 8064 | 1.7200 |
| 2.0792 | 10.0 | 8960 | 1.7164 |
The training took 3 hours 15 minutes on NVIDIA GPU.
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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