scene_segmentation – AI Model by researchlabtech | AlphaNeural AI

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researchlabtech/
scene_segmentation

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researchlabtech/scene_segmentation

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

Train Loss: 0.0664
Validation Loss: 0.1072
Validation Mean Iou: 0.0117
Validation Mean Accuracy: 0.0679
Validation Overall Accuracy: 0.0665
Validation Accuracy Background: 0.0637
Validation Accuracy Nucleus: 0.0722
Validation Accuracy Cytoplasm: nan
Validation Iou Background: 0.0078
Validation Iou Nucleus: 0.0273
Validation Iou Cytoplasm: 0.0
Epoch: 4

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 6e-05, 'decay_steps': 3695, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Validation Mean Iou	Validation Mean Accuracy	Validation Overall Accuracy	Validation Accuracy Background	Validation Accuracy Nucleus	Validation Accuracy Cytoplasm	Validation Iou Background	Validation Iou Nucleus	Validation Iou Cytoplasm	Epoch
0.1858	0.1836	0.0095	0.0569	0.0576	0.0590	0.0548	nan	0.0072	0.0214	0.0	0
0.0967	0.1491	0.0084	0.0526	0.0549	0.0594	0.0457	nan	0.0073	0.0180	0.0	1
0.0807	0.1290	0.0103	0.0608	0.0598	0.0580	0.0636	nan	0.0071	0.0238	0.0	2
0.0703	0.1288	0.0101	0.0544	0.0498	0.0410	0.0677	nan	0.0050	0.0252	0.0	3
0.0664	0.1072	0.0117	0.0679	0.0665	0.0637	0.0722	nan	0.0078	0.0273	0.0	4

Framework versions

Transformers 4.49.0
TensorFlow 2.19.0
Datasets 3.6.0
Tokenizers 0.21.1