This model is a fine-tuned version of facebook/mask2former-swin-tiny-coco-instance on the qubvel-hf/ade20k-mini dataset. It achieves the following results on the evaluation set:

Loss: 31.0067
Map: 0.2061
Map 50: 0.4076
Map 75: 0.1946
Map Small: 0.1368
Map Medium: 0.623
Map Large: 0.82
Mar 1: 0.0921
Mar 10: 0.2488
Mar 100: 0.2856
Mar Small: 0.2105
Mar Medium: 0.7164
Mar Large: 0.8705
Map Person: 0.1413
Mar 100 Person: 0.2035
Map Car: 0.2709
Mar 100 Car: 0.3678

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 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: 2.0
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 Person	Mar 100 Person	Map Car	Mar 100 Car
37.3934	1.0	100	33.6332	0.1981	0.3956	0.1799	0.1285	0.6173	0.7992	0.0896	0.2453	0.2821	0.2074	0.7135	0.8354	0.1349	0.2001	0.2613	0.3641
29.0441	2.0	200	31.0067	0.2061	0.4076	0.1946	0.1368	0.623	0.82	0.0921	0.2488	0.2856	0.2105	0.7164	0.8705	0.1413	0.2035	0.2709	0.3678

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.5.0+cu121
Datasets 2.19.1
Tokenizers 0.21.0

snbhanja/finetune-instance-segmentation-ade20k-mini-mask2former

finetune-instance-segmentation-ade20k-mini-mask2former

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

snbhanja/
finetune-instance-segmentation-ade20k-mini-mask2former