Training Report - test_synthetic - version_12 - DeepLabV3Plus - resnet152

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🧠 Segmentation Model Training Report

Project: test_synthetic
Run Time: 2025-05-15T02:05:42.191379

📊 Last 10 Training Steps

epoch	step	train_loss	train_class_0_iou	train_class_1_iou	train_class_2_iou	train_dataset_iou	train_per_image_iou	valid_loss	valid_class_0_iou	valid_class_1_iou	valid_class_2_iou	valid_dataset_iou	valid_per_image_iou
41	1175	0.1275	0.8103	0.7422	0.8105	0.791	0.7923	0.1438	0.8321	0.7191	0.7195	0.7466	0.7474
42	1203	0.1272	0.8047	0.7433	0.8252	0.7991	0.8001	0.1414	0.8342	0.7276	0.7191	0.7498	0.7506
43	1231	0.128	0.8072	0.7359	0.8172	0.793	0.7944	0.1438	0.8303	0.7258	0.7137	0.7464	0.7473
44	1259	0.1256	0.8069	0.7398	0.8201	0.7954	0.7966	0.1431	0.8332	0.7239	0.7155	0.7467	0.7476
45	1287	0.1221	0.8156	0.7512	0.8127	0.7959	0.797	0.1439	0.8343	0.7224	0.7126	0.7445	0.7454
46	1315	0.1293	0.793	0.7437	0.8253	0.7971	0.7984	0.142	0.8294	0.7313	0.7149	0.7489	0.7497
47	1343	0.1182	0.8223	0.7495	0.8233	0.8036	0.8046	0.1395	0.8353	0.7311	0.7236	0.7533	0.7542
48	1371	0.1193	0.8125	0.7566	0.8256	0.8038	0.8048	0.141	0.8345	0.7254	0.7237	0.7501	0.7509
49	1399	0.1222	0.8059	0.7496	0.8229	0.7996	0.8008	0.1521	0.8338	0.7192	0.681	0.7319	0.7329
50	1400	-	-	-	-	-	-	0.1521	0.8338	0.7192	0.681	0.7319	0.7329

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📝 Run Info Summary

Key	Value
version_dir	/home/mkutuga/SemiF-Segmentation/projects/test_synthetic/train/version_12
model_name	DeepLabV3Plus
encoder	resnet152
encoder_weights	imagenet
project_name	test_synthetic
timestamp	2025-05-15T02:05:19.855034
valid_dataset_iou	0.7319313287734985
valid_per_image_iou	0.7328794002532959
num_epochs	50
batch_size	4

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📈 Training Plots

📸 Sample Prediction

📸 Inference 0

📸 Inference 1

📸 Inference 2

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Triggered by push to develop branch.