|
--- |
|
license: other |
|
base_model: nvidia/segformer-b0-finetuned-ade-512-512 |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: Omar280X/personal_license_card_segmentation_x2 |
|
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/personal_license_card_segmentation_x2 |
|
|
|
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: 0.0152 |
|
- Validation Loss: 0.0132 |
|
- Epoch: 9 |
|
|
|
## 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 | |
|
|:----------:|:---------------:|:-----:| |
|
| 0.1232 | 0.0261 | 0 | |
|
| 0.0387 | 0.0190 | 1 | |
|
| 0.0291 | 0.0162 | 2 | |
|
| 0.0218 | 0.0149 | 3 | |
|
| 0.0188 | 0.0142 | 4 | |
|
| 0.0227 | 0.0149 | 5 | |
|
| 0.0195 | 0.0138 | 6 | |
|
| 0.0160 | 0.0133 | 7 | |
|
| 0.0169 | 0.0131 | 8 | |
|
| 0.0152 | 0.0132 | 9 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.2 |
|
- TensorFlow 2.10.0 |
|
- Tokenizers 0.15.2 |
|
|
