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---
library_name: transformers
license: other
base_model: facebook/mask2former-swin-tiny-coco-instance
tags:
- image-segmentation
- instance-segmentation
- vision
- generated_from_trainer
model-index:
- name: finetune-instance-segmentation-ade20k-mini-mask2former_augmentation
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. -->
# finetune-instance-segmentation-ade20k-mini-mask2former_augmentation
This model is a fine-tuned version of [facebook/mask2former-swin-tiny-coco-instance](https://huggingface.co/facebook/mask2former-swin-tiny-coco-instance) on the yeray142/kitti-mots-instance dataset.
It achieves the following results on the evaluation set:
- Loss: 21.8491
- Map: 0.2024
- Map 50: 0.3976
- Map 75: 0.1846
- Map Small: 0.1131
- Map Medium: 0.4171
- Map Large: 0.9371
- Mar 1: 0.098
- Mar 10: 0.2621
- Mar 100: 0.3113
- Mar Small: 0.2456
- Mar Medium: 0.5068
- Mar Large: 0.9545
- Map Car: 0.3761
- Mar 100 Car: 0.5206
- Map Person: 0.0288
- Mar 100 Person: 0.102
## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 10.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Car | Mar 100 Car | Map Person | Mar 100 Person |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:-------:|:-----------:|:----------:|:--------------:|
| 32.1236 | 1.0 | 315 | 25.0016 | 0.172 | 0.3235 | 0.1677 | 0.0881 | 0.3483 | 0.8944 | 0.0877 | 0.2218 | 0.2617 | 0.1935 | 0.4549 | 0.9347 | 0.3376 | 0.4775 | 0.0065 | 0.0459 |
| 25.8006 | 2.0 | 630 | 23.8844 | 0.1836 | 0.3505 | 0.1708 | 0.0973 | 0.3691 | 0.9132 | 0.09 | 0.2324 | 0.276 | 0.2074 | 0.4765 | 0.9434 | 0.3541 | 0.4901 | 0.0131 | 0.0619 |
| 24.098 | 3.0 | 945 | 23.1822 | 0.1892 | 0.3583 | 0.1751 | 0.0975 | 0.3823 | 0.9297 | 0.0904 | 0.2392 | 0.283 | 0.215 | 0.4814 | 0.9495 | 0.3616 | 0.4967 | 0.0168 | 0.0693 |
| 23.0237 | 4.0 | 1260 | 22.7127 | 0.1913 | 0.3692 | 0.1751 | 0.1017 | 0.3846 | 0.9289 | 0.0933 | 0.2437 | 0.289 | 0.2225 | 0.4827 | 0.9486 | 0.3635 | 0.5003 | 0.0191 | 0.0778 |
| 22.25 | 5.0 | 1575 | 22.5918 | 0.1933 | 0.3765 | 0.1754 | 0.1053 | 0.3951 | 0.9267 | 0.0934 | 0.2477 | 0.2916 | 0.2253 | 0.4829 | 0.9474 | 0.3648 | 0.5 | 0.0218 | 0.0832 |
| 21.7056 | 6.0 | 1890 | 21.9666 | 0.2019 | 0.3913 | 0.1833 | 0.1101 | 0.4037 | 0.9311 | 0.0965 | 0.256 | 0.2998 | 0.235 | 0.4911 | 0.9497 | 0.3775 | 0.5145 | 0.0263 | 0.0852 |
| 21.218 | 7.0 | 2205 | 22.1376 | 0.2002 | 0.3859 | 0.1841 | 0.1087 | 0.412 | 0.9299 | 0.0974 | 0.255 | 0.3003 | 0.2331 | 0.5004 | 0.9524 | 0.3751 | 0.5113 | 0.0254 | 0.0892 |
| 20.7151 | 8.0 | 2520 | 21.7431 | 0.2013 | 0.3953 | 0.1819 | 0.1105 | 0.411 | 0.9349 | 0.0973 | 0.2595 | 0.3059 | 0.2401 | 0.5016 | 0.9533 | 0.375 | 0.5178 | 0.0277 | 0.094 |
| 20.4197 | 9.0 | 2835 | 21.8546 | 0.2024 | 0.3925 | 0.184 | 0.1112 | 0.4136 | 0.9325 | 0.0971 | 0.2589 | 0.3044 | 0.2387 | 0.4965 | 0.9531 | 0.3781 | 0.5164 | 0.0267 | 0.0925 |
| 20.1339 | 9.9698 | 3140 | 21.8491 | 0.2024 | 0.3976 | 0.1846 | 0.1131 | 0.4171 | 0.9371 | 0.098 | 0.2621 | 0.3113 | 0.2456 | 0.5068 | 0.9545 | 0.3761 | 0.5206 | 0.0288 | 0.102 |
### Framework versions
- Transformers 4.50.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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