---
license: apache-2.0
base_model: polejowska/detr-r50-cd45rb-8ah-6l
tags:
- generated_from_trainer
model-index:
- name: detr-r50-finetuned-mist1-gb-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-finetuned-mist1-gb-8ah-6l

This model is a fine-tuned version of [polejowska/detr-r50-cd45rb-8ah-6l](https://huggingface.co/polejowska/detr-r50-cd45rb-8ah-6l) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9224

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5222        | 1.0   | 115  | 2.2563          |
| 2.3827        | 2.0   | 230  | 2.2211          |
| 2.3441        | 3.0   | 345  | 2.2602          |
| 2.2896        | 4.0   | 460  | 2.2359          |
| 2.2828        | 5.0   | 575  | 2.2431          |
| 2.2972        | 6.0   | 690  | 2.1629          |
| 2.3007        | 7.0   | 805  | 2.1545          |
| 2.2951        | 8.0   | 920  | 2.1153          |
| 2.2595        | 9.0   | 1035 | 2.1553          |
| 2.2327        | 10.0  | 1150 | 2.2060          |
| 2.2023        | 11.0  | 1265 | 2.0452          |
| 2.2117        | 12.0  | 1380 | 2.0879          |
| 2.1805        | 13.0  | 1495 | 2.1812          |
| 2.1344        | 14.0  | 1610 | 2.0992          |
| 2.1057        | 15.0  | 1725 | 1.9834          |
| 2.086         | 16.0  | 1840 | 1.9610          |
| 2.0591        | 17.0  | 1955 | 2.1007          |
| 2.053         | 18.0  | 2070 | 2.0561          |
| 2.0387        | 19.0  | 2185 | 2.0596          |
| 2.0161        | 20.0  | 2300 | 1.9885          |
| 2.0374        | 21.0  | 2415 | 2.0041          |
| 2.0233        | 22.0  | 2530 | 2.0103          |
| 2.0363        | 23.0  | 2645 | 2.0541          |
| 1.9837        | 24.0  | 2760 | 1.9924          |
| 1.9943        | 25.0  | 2875 | 2.0558          |
| 1.9846        | 26.0  | 2990 | 1.9874          |
| 1.9601        | 27.0  | 3105 | 1.9554          |
| 1.9837        | 28.0  | 3220 | 1.9989          |
| 1.9664        | 29.0  | 3335 | 1.9876          |
| 1.966         | 30.0  | 3450 | 1.9755          |
| 1.9226        | 31.0  | 3565 | 1.9357          |
| 1.9405        | 32.0  | 3680 | 1.9240          |
| 1.9035        | 33.0  | 3795 | 1.9411          |
| 1.8924        | 34.0  | 3910 | 1.9291          |
| 1.8801        | 35.0  | 4025 | 1.9661          |
| 1.8698        | 36.0  | 4140 | 1.9105          |
| 1.8572        | 37.0  | 4255 | 1.9448          |
| 1.8756        | 38.0  | 4370 | 1.9675          |
| 1.8593        | 39.0  | 4485 | 1.9365          |
| 1.8713        | 40.0  | 4600 | 1.9383          |
| 1.8436        | 41.0  | 4715 | 1.9671          |
| 1.83          | 42.0  | 4830 | 1.9527          |
| 1.857         | 43.0  | 4945 | 1.9448          |
| 1.8318        | 44.0  | 5060 | 1.9366          |
| 1.8177        | 45.0  | 5175 | 1.9389          |
| 1.8034        | 46.0  | 5290 | 1.9050          |
| 1.8226        | 47.0  | 5405 | 1.9226          |
| 1.818         | 48.0  | 5520 | 1.9150          |
| 1.8148        | 49.0  | 5635 | 1.9169          |
| 1.7984        | 50.0  | 5750 | 1.9224          |


### Framework versions

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