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---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr-r50-mist1-bg-8ah-6l
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-mist1-bg-8ah-6l
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: 2.1031
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6794 | 1.0 | 115 | 2.8222 |
| 3.0269 | 2.0 | 230 | 2.8120 |
| 2.8681 | 3.0 | 345 | 2.7980 |
| 2.752 | 4.0 | 460 | 2.4853 |
| 2.7715 | 5.0 | 575 | 2.4140 |
| 2.6846 | 6.0 | 690 | 2.4715 |
| 2.6236 | 7.0 | 805 | 2.4614 |
| 2.5318 | 8.0 | 920 | 2.3441 |
| 2.5224 | 9.0 | 1035 | 2.2837 |
| 2.4661 | 10.0 | 1150 | 2.2510 |
| 2.4313 | 11.0 | 1265 | 2.3339 |
| 2.4125 | 12.0 | 1380 | 2.2957 |
| 2.4113 | 13.0 | 1495 | 2.2358 |
| 2.3784 | 14.0 | 1610 | 2.2635 |
| 2.3199 | 15.0 | 1725 | 2.2320 |
| 2.3321 | 16.0 | 1840 | 2.2250 |
| 2.3305 | 17.0 | 1955 | 2.2020 |
| 2.2932 | 18.0 | 2070 | 2.1826 |
| 2.2952 | 19.0 | 2185 | 2.1626 |
| 2.2663 | 20.0 | 2300 | 2.1573 |
| 2.2916 | 21.0 | 2415 | 2.1653 |
| 2.2703 | 22.0 | 2530 | 2.1444 |
| 2.2431 | 23.0 | 2645 | 2.1374 |
| 2.2243 | 24.0 | 2760 | 2.1276 |
| 2.2413 | 25.0 | 2875 | 2.1031 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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