| | --- |
| | license: other |
| | base_model: nvidia/segformer-b0-finetuned-ade-512-512 |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: Omar280X/id_antispoof_segmentation |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information Keras had access to. You should |
| | probably proofread and complete it, then remove this comment. --> |
| |
|
| | # Omar280X/id_antispoof_segmentation |
| |
|
| | This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-ade-512-512](https://huggingface.co/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 |
| |
|
| | 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 | |
| | |:----------:|:---------------:|:-----:| |
| | | 0.3526 | 0.8937 | 0 | |
| | | 0.3990 | 0.9160 | 1 | |
| | | 0.4052 | 1.1331 | 2 | |
| | | 0.4075 | 1.0154 | 3 | |
| | | 0.3600 | 1.4708 | 4 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.37.0 |
| | - TensorFlow 2.10.0 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.15.2 |
| |
|
