This model is a fine-tuned version of nvidia/mit-b0 on the heroza/biofilm_MRCNNv1_halfjoin dataset. It achieves the following results on the evaluation set:

Loss: 0.0208
Mean Iou: 0.4961
Mean Accuracy: 0.9923
Overall Accuracy: 0.9923
Accuracy Background: 0.9923
Accuracy Biofilm: nan
Iou Background: 0.9923
Iou Biofilm: 0.0

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: 6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 1337
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: polynomial
training_steps: 10000

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Background	Accuracy Biofilm	Iou Background
0.0713	1.0	478	0.0381	0.4953	0.9906	0.9906	0.9906	nan	0.9906
0.044	2.0	956	0.0202	0.4975	0.9949	0.9949	0.9949	nan	0.9949
0.041	3.0	1434	0.0181	0.4972	0.9945	0.9945	0.9945	nan	0.9945
0.0361	4.0	1912	0.0203	0.4963	0.9926	0.9926	0.9926	nan	0.9926
0.0357	5.0	2390	0.0163	0.4971	0.9942	0.9942	0.9942	nan	0.9942
0.0336	6.0	2868	0.0340	0.4958	0.9915	0.9915	0.9915	nan	0.9915
0.0295	7.0	3346	0.0126	0.4978	0.9955	0.9955	0.9955	nan	0.9955
0.0251	8.0	3824	0.0220	0.4957	0.9915	0.9915	0.9915	nan	0.9915
0.0265	9.0	4302	0.0182	0.4966	0.9933	0.9933	0.9933	nan	0.9933
0.0238	10.0	4780	0.0155	0.4970	0.9940	0.9940	0.9940	nan	0.9940
0.0258	11.0	5258	0.0181	0.4966	0.9931	0.9931	0.9931	nan	0.9931
0.0264	12.0	5736	0.0179	0.4969	0.9938	0.9938	0.9938	nan	0.9938
0.0265	13.0	6214	0.0222	0.4959	0.9917	0.9917	0.9917	nan	0.9917
0.0219	14.0	6692	0.0200	0.4962	0.9925	0.9925	0.9925	nan	0.9925
0.0213	15.0	7170	0.0234	0.4958	0.9916	0.9916	0.9916	nan	0.9916
0.0192	16.0	7648	0.0199	0.4961	0.9922	0.9922	0.9922	nan	0.9922
0.0232	17.0	8126	0.0208	0.4961	0.9923	0.9923	0.9923	nan	0.9923
0.0219	18.0	8604	0.0245	0.4955	0.9909	0.9909	0.9909	nan	0.9909
0.0201	19.0	9082	0.0211	0.4961	0.9922	0.9922	0.9922	nan	0.9922
0.0192	20.0	9560	0.0207	0.4962	0.9923	0.9923	0.9923	nan	0.9923
0.0175	20.92	10000	0.0208	0.4961	0.9923	0.9923	0.9923	nan	0.9923

Framework versions

Transformers 4.38.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.14.4
Tokenizers 0.15.1

heroza/segformer-finetuned-biofilm_MRCNNv1_halfjoin

segformer-finetuned-biofilm_MRCNNv1_halfjoin

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

heroza/
segformer-finetuned-biofilm_MRCNNv1_halfjoin