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---
license: apache-2.0
base_model: microsoft/conditional-detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: cdetr-mist1-brain-gt-tumors-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. -->
# cdetr-mist1-brain-gt-tumors-8ah-6l
This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8917
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.4149 | 1.0 | 115 | 4.3974 |
| 3.9453 | 2.0 | 230 | 3.6520 |
| 3.7269 | 3.0 | 345 | 3.7602 |
| 3.5898 | 4.0 | 460 | 3.5671 |
| 3.486 | 5.0 | 575 | 3.4912 |
| 3.4073 | 6.0 | 690 | 3.4095 |
| 3.4181 | 7.0 | 805 | 3.3183 |
| 3.3603 | 8.0 | 920 | 3.1111 |
| 3.2777 | 9.0 | 1035 | 3.1992 |
| 3.2851 | 10.0 | 1150 | 3.3997 |
| 3.266 | 11.0 | 1265 | 3.2861 |
| 3.2803 | 12.0 | 1380 | 3.1813 |
| 3.1733 | 13.0 | 1495 | 2.9838 |
| 3.2094 | 14.0 | 1610 | 3.1175 |
| 3.1718 | 15.0 | 1725 | 3.0064 |
| 3.1303 | 16.0 | 1840 | 3.0869 |
| 3.0897 | 17.0 | 1955 | 3.0306 |
| 3.0233 | 18.0 | 2070 | 2.9479 |
| 3.0156 | 19.0 | 2185 | 2.9145 |
| 3.0277 | 20.0 | 2300 | 2.8919 |
| 3.0847 | 21.0 | 2415 | 2.9321 |
| 3.0333 | 22.0 | 2530 | 2.9128 |
| 3.0126 | 23.0 | 2645 | 2.8627 |
| 2.9701 | 24.0 | 2760 | 2.8686 |
| 2.9964 | 25.0 | 2875 | 2.8917 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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