---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: cdetr-cd45rb-s
  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-cd45rb-s

This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0136

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6006        | 1.0   | 242  | 2.2146          |
| 2.2409        | 2.0   | 484  | 2.1106          |
| 2.2027        | 3.0   | 726  | 2.1456          |
| 2.183         | 4.0   | 968  | 2.0863          |
| 2.0628        | 5.0   | 1210 | 2.0294          |
| 2.1588        | 6.0   | 1452 | 2.0859          |
| 2.1731        | 7.0   | 1694 | 2.0731          |
| 2.1041        | 8.0   | 1936 | 2.1052          |
| 2.0383        | 9.0   | 2178 | 2.0378          |
| 1.967         | 10.0  | 2420 | 2.0136          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3