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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cd45rb
base_model: facebook/detr-resnet-50
model-index:
- name: detr-r50-cd45rb-8ah-6l-gelu-corrected
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-8ah-6l-gelu-corrected
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: 1.5861
## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 3.0438 | 1.0 | 4606 | 1.9413 |
| 2.3933 | 2.0 | 9212 | 1.8238 |
| 2.2782 | 3.0 | 13818 | 1.7718 |
| 2.2383 | 4.0 | 18424 | 1.7528 |
| 2.2046 | 5.0 | 23030 | 1.7265 |
| 2.1659 | 6.0 | 27636 | 1.7125 |
| 2.1457 | 7.0 | 32242 | 1.6760 |
| 2.1111 | 8.0 | 36848 | 1.6622 |
| 2.0959 | 9.0 | 41454 | 1.6467 |
| 2.0826 | 10.0 | 46060 | 1.6392 |
| 2.1132 | 11.0 | 50666 | 1.6875 |
| 2.1145 | 12.0 | 55272 | 1.6863 |
| 2.0947 | 13.0 | 59878 | 1.6528 |
| 2.0777 | 14.0 | 64484 | 1.6669 |
| 2.0551 | 15.0 | 69090 | 1.6241 |
| 2.0567 | 16.0 | 73696 | 1.6241 |
| 2.042 | 17.0 | 78302 | 1.6171 |
| 2.0306 | 18.0 | 82908 | 1.6062 |
| 2.015 | 19.0 | 87514 | 1.5989 |
| 2.0206 | 20.0 | 92120 | 1.6168 |
| 2.026 | 21.0 | 96726 | 1.6022 |
| 2.0109 | 22.0 | 101332 | 1.5996 |
| 2.0133 | 23.0 | 105938 | 1.5983 |
| 2.0081 | 24.0 | 110544 | 1.5888 |
| 1.9975 | 25.0 | 115150 | 1.5861 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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