Omar280X/id_antispoof_segmentation
This model is a fine-tuned version of nvidia/segformer-b0-finetuned-ade-512-512 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3600
- Validation Loss: 1.4708
- Epoch: 4
Model description
More information needed
Intended uses & limitations
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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 |
---|---|---|
0.3526 | 0.8937 | 0 |
0.3990 | 0.9160 | 1 |
0.4052 | 1.1331 | 2 |
0.4075 | 1.0154 | 3 |
0.3600 | 1.4708 | 4 |
Framework versions
- Transformers 4.37.0
- TensorFlow 2.10.0
- Datasets 3.6.0
- Tokenizers 0.15.2
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Model tree for Omar280X/id_antispoof_segmentation
Base model
nvidia/segformer-b0-finetuned-ade-512-512