---
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: 2.8303

## 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: 50
- 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          |
| 2.9968        | 24.0  | 2760 | 3.0186          |
| 3.0295        | 25.0  | 2875 | 3.0148          |
| 3.0294        | 26.0  | 2990 | 3.0341          |
| 3.0395        | 27.0  | 3105 | 2.9997          |
| 3.0445        | 28.0  | 3220 | 3.0575          |
| 2.9761        | 29.0  | 3335 | 2.9707          |
| 3.0075        | 30.0  | 3450 | 2.9392          |
| 3.0198        | 31.0  | 3565 | 2.9122          |
| 2.9782        | 32.0  | 3680 | 2.9471          |
| 2.9773        | 33.0  | 3795 | 3.0306          |
| 2.9528        | 34.0  | 3910 | 2.8513          |
| 2.9228        | 35.0  | 4025 | 2.8997          |
| 2.9221        | 36.0  | 4140 | 2.8646          |
| 2.8933        | 37.0  | 4255 | 2.8871          |
| 2.8925        | 38.0  | 4370 | 2.9407          |
| 2.9069        | 39.0  | 4485 | 2.9625          |
| 2.9246        | 40.0  | 4600 | 2.9946          |
| 2.9089        | 41.0  | 4715 | 2.8936          |
| 2.8573        | 42.0  | 4830 | 2.8272          |
| 2.8378        | 43.0  | 4945 | 2.8543          |
| 2.8957        | 44.0  | 5060 | 2.8590          |
| 2.8454        | 45.0  | 5175 | 2.8525          |
| 2.7964        | 46.0  | 5290 | 2.8658          |
| 2.8172        | 47.0  | 5405 | 2.8872          |
| 2.8472        | 48.0  | 5520 | 2.8654          |
| 2.811         | 49.0  | 5635 | 2.8572          |
| 2.801         | 50.0  | 5750 | 2.8303          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1