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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: detr-resnet50-cd45rb
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-resnet50-cd45rb
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7418
## 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: 0.0001
- 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.8886 | 1.0 | 242 | 2.8754 |
| 3.6406 | 2.0 | 484 | 2.7956 |
| 3.6109 | 3.0 | 726 | 2.8412 |
| 3.5724 | 4.0 | 968 | 2.7906 |
| 3.5492 | 5.0 | 1210 | 2.7473 |
| 3.5595 | 6.0 | 1452 | 2.7594 |
| 3.5249 | 7.0 | 1694 | 2.7396 |
| 3.524 | 8.0 | 1936 | 2.7562 |
| 3.4908 | 9.0 | 2178 | 2.7345 |
| 3.5149 | 10.0 | 2420 | 2.7418 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.10.0
- Tokenizers 0.13.2
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