---
license: apache-2.0
base_model: polejowska/detr-r50-cd45rb-8ah-6l
tags:
- generated_from_trainer
model-index:
- name: detr-r50-finetuned-mist1-gb-4ah-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-4ah-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: 2.2166

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4044        | 1.0   | 115  | 3.0048          |
| 3.1708        | 2.0   | 230  | 2.9028          |
| 3.0756        | 3.0   | 345  | 2.8538          |
| 2.9769        | 4.0   | 460  | 2.8149          |
| 2.8999        | 5.0   | 575  | 2.7332          |
| 2.8609        | 6.0   | 690  | 2.7212          |
| 2.8338        | 7.0   | 805  | 2.6894          |
| 2.8103        | 8.0   | 920  | 2.7045          |
| 2.8036        | 9.0   | 1035 | 2.7786          |
| 2.7486        | 10.0  | 1150 | 2.6881          |
| 2.7076        | 11.0  | 1265 | 2.6059          |
| 2.7156        | 12.0  | 1380 | 2.6483          |
| 2.6655        | 13.0  | 1495 | 2.5438          |
| 2.6368        | 14.0  | 1610 | 2.5342          |
| 2.5982        | 15.0  | 1725 | 2.5287          |
| 2.6116        | 16.0  | 1840 | 2.4446          |
| 2.5592        | 17.0  | 1955 | 2.4365          |
| 2.5528        | 18.0  | 2070 | 2.4844          |
| 2.5248        | 19.0  | 2185 | 2.4195          |
| 2.4853        | 20.0  | 2300 | 2.4538          |
| 2.5295        | 21.0  | 2415 | 2.5696          |
| 2.5069        | 22.0  | 2530 | 2.4537          |
| 2.4504        | 23.0  | 2645 | 2.5152          |
| 2.4447        | 24.0  | 2760 | 2.4432          |
| 2.4303        | 25.0  | 2875 | 2.4033          |
| 2.4137        | 26.0  | 2990 | 2.3796          |
| 2.41          | 27.0  | 3105 | 2.3599          |
| 2.3816        | 28.0  | 3220 | 2.4018          |
| 2.3752        | 29.0  | 3335 | 2.3116          |
| 2.3929        | 30.0  | 3450 | 2.3105          |
| 2.3791        | 31.0  | 3565 | 2.3677          |
| 2.3639        | 32.0  | 3680 | 2.4312          |
| 2.3475        | 33.0  | 3795 | 2.3052          |
| 2.3429        | 34.0  | 3910 | 2.3222          |
| 2.3115        | 35.0  | 4025 | 2.3126          |
| 2.3276        | 36.0  | 4140 | 2.3154          |
| 2.3126        | 37.0  | 4255 | 2.3534          |
| 2.2934        | 38.0  | 4370 | 2.2566          |
| 2.2901        | 39.0  | 4485 | 2.2748          |
| 2.2622        | 40.0  | 4600 | 2.2620          |
| 2.2707        | 41.0  | 4715 | 2.2336          |
| 2.2338        | 42.0  | 4830 | 2.2242          |
| 2.2457        | 43.0  | 4945 | 2.2192          |
| 2.227         | 44.0  | 5060 | 2.2067          |
| 2.2215        | 45.0  | 5175 | 2.2183          |
| 2.2075        | 46.0  | 5290 | 2.2188          |
| 2.2286        | 47.0  | 5405 | 2.2306          |
| 2.2292        | 48.0  | 5520 | 2.2160          |
| 2.219         | 49.0  | 5635 | 2.2208          |
| 2.2125        | 50.0  | 5750 | 2.2166          |


### Framework versions

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