---
tags:
- generated_from_trainer
datasets:
- polejowska/cd45rb
model-index:
- name: detr-r101-cd45rb-8ah-6l-256d-4096ffn-correcetd
  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-r101-cd45rb-8ah-6l-256d-4096ffn-correcetd

This model is a fine-tuned version of [](https://huggingface.co/) on the cd45rb_nan_xywh dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5819

## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 2.3194        | 1.0   | 4606   | 1.7874          |
| 2.3461        | 2.0   | 9212   | 1.8376          |
| 2.3028        | 3.0   | 13818  | 1.9087          |
| 2.2979        | 4.0   | 18424  | 1.9066          |
| 2.273         | 5.0   | 23030  | 1.7689          |
| 2.2372        | 6.0   | 27636  | 1.8501          |
| 2.2429        | 7.0   | 32242  | 1.7625          |
| 2.2066        | 8.0   | 36848  | 1.7588          |
| 2.1914        | 9.0   | 41454  | 1.7062          |
| 2.1553        | 10.0  | 46060  | 1.7069          |
| 2.1302        | 11.0  | 50666  | 1.6863          |
| 2.1321        | 12.0  | 55272  | 1.7722          |
| 2.1227        | 13.0  | 59878  | 1.6639          |
| 2.087         | 14.0  | 64484  | 1.6486          |
| 2.0676        | 15.0  | 69090  | 1.6632          |
| 2.0604        | 16.0  | 73696  | 1.6429          |
| 2.0435        | 17.0  | 78302  | 1.6224          |
| 2.0241        | 18.0  | 82908  | 1.6321          |
| 2.0041        | 19.0  | 87514  | 1.5970          |
| 1.9966        | 20.0  | 92120  | 1.5943          |
| 2.0165        | 21.0  | 96726  | 1.6092          |
| 2.007         | 22.0  | 101332 | 1.5986          |
| 2.0009        | 23.0  | 105938 | 1.5931          |
| 1.992         | 24.0  | 110544 | 1.5898          |
| 1.9769        | 25.0  | 115150 | 1.5819          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3