ChristianMDahl/segFormer-b3-vertical

This model is a fine-tuned version of nvidia/mit-b3 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.1059
• Validation Loss: 0.1350
• Epoch: 19

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': 'Adam', 'learning_rate': 6e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.1926	0.1873	0
0.1677	0.1612	1
0.1578	0.1562	2
0.1509	0.1521	3
0.1451	0.1480	4
0.1395	0.1458	5
0.1343	0.1431	6
0.1314	0.1433	7
0.1274	0.1395	8
0.1247	0.1377	9
0.1218	0.1361	10
0.1199	0.1374	11
0.1173	0.1350	12
0.1153	0.1376	13
0.1138	0.1395	14
0.1117	0.1357	15
0.1102	0.1353	16
0.1089	0.1397	17
0.1082	0.1364	18
0.1059	0.1350	19

Framework versions

• Transformers 4.28.1
• TensorFlow 2.10.1
• Datasets 2.12.0
• Tokenizers 0.13.0.dev0